Artikel
2021
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Kattenborn, T.; Leitloff, J.; Schiefer, F.; Hinz, S. (2021). Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. ISPRS journal of photogrammetry and remote sensing, 173, 24–49. doi:10.1016/j.isprsjprs.2020.12.010
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Maier, P.; Keller, S.; Hinz, S. (2021). Deep Learning with WASI Simulation Data for Estimating Chlorophyll a Concentration of Inland Water Bodies. Remote sensing, 13 (4), 718. doi:10.3390/rs13040718
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Rabold, J.; Heublein, M.; Mayer, M. (2021). Beteiligung von Studierenden bei der Weiterentwicklung des Lehr-Lernsystems. Die Hochschullehre, (6), 520–528. doi:10.3278/HSL2041W
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Rebmeister, M.; Schenk, A.; Bradley, P. E.; Dörr, N.; Hinz, S. (2021). OCLeaS – A tomographic PSI Algorithm using Orthogonal Matching Pursuit and Complex Least Squares. Procedia computer science, 181, 220–230. doi:10.1016/j.procs.2021.01.143
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Sefrin, O.; Riese, F. M.; Keller, S. (2021). Deep Learning for Land Cover Change Detection. Remote sensing, 13 (1), Article no: 78. doi:10.3390/rs13010078
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Wit, K. de; Lexmond, B. R.; Stouthamer, E.; Neussner, O.; Dörr, N.; Schenk, A.; Minderhoud, P. S. J. (2021). Identifying Causes of Urban Differential Subsidence in the Vietnamese Mekong Delta by Combining InSAR and Field Observations. Remote sensing, 13 (2). doi:10.3390/rs13020189
2020
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Andersen, H.; Cermak, J.; Fuchs, J.; Knippertz, P.; Gaetani, M.; Quinting, J.; Sippel, S.; Vogt, R. (2020). Synoptic-scale controls of fog and low-cloud variability in the Namib Desert. Atmospheric chemistry and physics, 20 (6), 3415–3438. doi:10.5194/acp-20-3415-2020
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Arnold, M.; Keller, S. (2020). Detection and classification of bridge crossing Events with ground-based interferometric radar data and machine learning approaches. ISPRS annals, V-1-2020, 109–116. doi:10.5194/isprs-annals-V-1-2020-109-2020
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Bradley, P. E. (2020). Generalised Diffusion on Moduli Spaces of p-Adic Mumford Curves. P-adic numbers, ultrametric analysis, and applications, 12 (2), 73–89. doi:10.1134/S2070046620020016
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Bradley, P. E.; Jahn, M. W. (2020). On the Behaviour of p-Adic Scaled Space Filling Curve Indices for High-Dimensional Data. The computer journal. doi:10.1093/comjnl/bxaa036
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Breunig, M.; Bradley, P. E.; Jahn, M.; Kuper, P.; Mazroob, N.; Rösch, N.; Al-Doori, M.; Stefanakis, E.; Jadidi, M. (2020). Geospatial Data Management Research: Progress and Future Directions. ISPRS International Journal of Geo-Information, 9 (2), 95. doi:10.3390/ijgi9020095
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Bulatov, D.; Burkard, E.; Ilehag, R.; Kottler, B.; Helmholz, P. (2020). From multi-sensor aerial data to thermal and infrared simulation of semantic 3D models: Towards identification of urban heat islands. Infrared physics & technology, 105, Art. Nr.: 103233. doi:10.1016/j.infrared.2020.103233
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Bulatov, D.; Stütz, D.; Lucks, L.; Weinmann, M. (2020). Superpoints in RANSAC planes: A new approach for ground surface extraction exemplified on point classification and context-aware reconstruction. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP. Ed.: K. Bouatouch, 25–37, SciTePress. doi:10.5220/0008895600250037
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Erdnuess, B. (2020). Proper synchronization of geospatial metadata in motion imagery and its evaluation. Geospatial Informatics X 2020; None; United States; 27 April 2020 through 8 May 2020, Art. Nr.: 113980C, SPIE. doi:10.1117/12.2558696
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Erdnüß, B.; Müller, T. (2020). Leistungsstarke und effiziente Bildinterpolation. Forum Bildverarbeitung 2020. Ed.: T. Längle ; M. Heizmann, 253–265, KIT Scientific Publishing.
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Evers, M.; Hammer, H.; Thiele, A.; Schulz, K. (2020). Strategies for PS processing of large sentinel-1 datasets. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 99–106, ISPRS. doi:10.5194/isprs-archives-XLIII-B1-2020-99-2020
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Evers, M.; Kyriou, A.; Thiele, A.; Hammer, H.; Nikolakopoulos, K.; Schulz, K. (2020). How to set up a dam monitoring system with PSInSAR and GPS. Earth Resources and Environmental Remote Sensing/GIS Applications XI. Ed.: K. Schulz, Art.-Nr.: 115340L, SPIE. doi:10.1117/12.2573880
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Franke, S.; Jansen, D.; Binder, T.; Dörr, N.; Helm, V.; Paden, J.; Steinhage, D.; Eisen, O. (2020). Bed topography and subglacial landforms in the onset region of the Northeast Greenland Ice Stream. Annals of Glaciology, 1–11. doi:10.1017/aog.2020.12
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Guth, J.; Wursthorn, S.; Keller, S. (2020). Multi-Parameter Estimation of Average Speed in Road Networks Using Fuzzy Control. ISPRS International Journal of Geo-Information, 9 (1), Article No.55. doi:10.3390/ijgi9010055
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Heizmann, M.; Braun, A.; Hüttel, M.; Klüver, C.; Marquardt, E.; Overdick, M.; Ulrich, M. (2020). Artificial intelligence with neural networks in optical measurement and inspection systems. Automatisierungstechnik, 68 (6), 477–487. doi:10.1515/auto-2020-0006
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Heublein, M.; Bradley, P. E.; Hinz, S. (2020). Observing geometry effects on a Global Navigation Satellite System (GNSS)-based water vapor tomography solved by least squares and by compressive sensing. Annales geophysicae, 38 (1), 179–189. doi:10.5194/angeo-38-179-2020
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Hübner, P.; Clintworth, K.; Liu, Q.; Weinmann, M.; Wursthorn, S. (2020). Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications. Sensors, 20 (4), 1021. doi:10.3390/s20041021
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Hübner, P.; Weinmann, M.; Wursthorn, S. (2020). Voxel-Based Indoor Reconstruction from HoloLens Triangle Meshes. ISPRS annals, V-4-2020, 79–86. doi:10.5194/isprs-annals-V-4-2020-79-2020
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Ilehag, R.; Leitloff, J.; Weinmann, M.; Schenk, A. (2020). Urban Material Classification Using Spectral and Textural Features Retrieved from Autoencoders. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 25–32, ISPRS. doi:10.5194/isprs-annals-V-1-2020-25-2020
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Keller, S.; Gabriel, R.; Guth, J. (2020). Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data. ISPRS International Journal of Geo-Information, 9 (11), Art.-Nr.: 638. doi:10.3390/ijgi9110638
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Keller, S.; Michel, C.; Schneider, O.; Müller, J.; Arnold, M.; Döring, A.; Hoyer, M.; Hinz, S.; Keller, H. B. (2020). Überwachung von Brückeninfrastrukturen : Neuer Ansatz von konventionellen und berührungslosen Sensoren. Brückenbau, (3), 22–29.
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Keller, S.; Riese, F. M.; Allroggen, N.; Jackisch, C. (2020, Mai). HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques. doi:10.5880/fidgeo.2020.015
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Kim, M.; Cermak, J.; Andersen, H.; Fuchs, J.; Stirnberg, R. (2020). A New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using Machine Learning and Meteosat SEVIRI Data. Remote sensing, 12 (21), Article: 3475. doi:10.3390/rs12213475
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Kim, M.; Kim, H.-C.; Im, J.; Lee, S.; Han, H. (2020). Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data. Remote sensing of environment, 242, 111782. doi:10.1016/j.rse.2020.111782
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Kubisch, S.; Guth, J.; Keller, S.; Bull, M. T.; Keller, L.; Braun, A. C. (2020). The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design. International journal of disaster risk reduction, 45, Article No.101462. doi:10.1016/j.ijdrr.2019.101462
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Maier, P. M.; Keller, S. (2020). SpecWa: Spectral remote sensing data and chlorophyll a values of inland waters. doi:10.5880/fidgeo.2020.036
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Pauli, E.; Andersen, H.; Bendix, J.; Cermak, J.; Egli, S. (2020). Determinants of fog and low stratus occurrence in continental central Europe – a quantitative satellite-based evaluation. Journal of hydrology, 591, Art.-Nr.: 125451. doi:10.1016/j.jhydrol.2020.125451
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Riese, F. M. (2020, März). Hyperspectral Processing Scripts for the HydReSGeo Dataset 1.0.0. doi:10.5281/zenodo.3706418
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Riese, F. M.; Keller, S.; Hinz, S. (2020). Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data. Remote sensing, 12 (1), Art. Nr.: 7. doi:10.3390/rs12010007
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Riese, F. M.; Schroers, S.; Wienhöfer, J.; Keller, S. (2020, April 9). Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019. doi:10.5445/IR/1000118082
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Schmitt, A.; Wendleder, A.; Kleynmans, R.; Hell, M.; Roth, A.; Hinz, S. (2020). Multi-source and multi-temporal image fusion on hypercomplex bases. Remote sensing, 12 (6), 943. doi:10.3390/rs12060943
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Schmitz, S.; Weinmann, M.; Thiele, A. (2020). Incorporating interferometric coherence into lulc classification of airborne polsar-images using fully convolutional networks. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B1-2020, 2020, XXIV ISPRS Congress (2020 edition). Ed.: N. Paparoditis, 115–122, ISPRS. doi:10.5194/isprs-archives-XLIII-B1-2020-115-2020
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Sefrin, O.; Riese, F. M.; Keller, S. (2020). Code for Deep Learning for Land Cover Change Detection 1.0.1. doi:10.5281/zenodo.4289079
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Shatnawi, N.; Weidner, U.; Hinz, S. (2020). Monitoring Urban Expansion as a Result of Refugee Fluxes in North Jordan Using Remote Sensing Techniques. Journal of urban planning and development, 146 (3), Art.-Nr.: 04020026. doi:10.1061/(ASCE)UP.1943-5444.0000584
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Steger, C.; Ulrich, M. (2020). A Camera Model for Line-Scan Cameras with Telecentric Lenses. International journal of computer vision. doi:10.1007/s11263-020-01358-3
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Stirnberg, R.; Cermak, J.; Fuchs, J.; Andersen, H. (2020). Mapping and Understanding Patterns of Air Quality Using Satellite Data and Machine Learning. Journal of geophysical research / D, 125 (4), Art.e2019JD031380. doi:10.1029/2019JD031380
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Wagner, P.; Riese, F. M.; Keller, S. (2020). CAOS Sentinel-2 Pipeline in Python. doi:10.5281/zenodo.3879622
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Weinmann, M.; Jäger, M. A.; Wursthorn, S.; Jutzi, B.; Weinmann, M.; Hübner, P. (2020). 3D Indoor Mapping with the Microsoft HoloLens: Qualitative and Quantitative Evaluation by Means of Geometric Features. ISPRS annals, V-1-2020, 165–172. doi:10.5194/isprs-annals-V-1-2020-165-2020
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Westerhuis, S.; Fuhrer, O.; Cermak, J.; Eugster, W. (2020). Identifying the key challenges for fog and low stratus forecasting in complex terrain. Quarterly journal of the Royal Meteorological Society. doi:10.1002/qj.3849
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Woollam, J.; Rietbrock, A.; Leitloff, J.; Hinz, S. (2020). HEX: Hyperbolic Event eXtractor, a Seismic Phase Associator for Highly Active Seismic Regions. Seismological research letters, 91 (5), 2769–2778. doi:10.1785/0220200037
2019
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Adler, B.; Babić, K.; Kalthoff, N.; Lohou, F.; Lothon, M.; Dione, C.; Pedruzo-Bagazgoitia, X.; Andersen, H. (2019). Nocturnal low-level clouds in the atmospheric boundary layer over southern West Africa: an observation-based analysis of conditions and processes. Atmospheric chemistry and physics, 19 (1), 663–681. doi:10.5194/acp-19-663-2019
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Andersen, H.; Cermak, J.; Solodovnik, I.; Lelli, L.; Vogt, R. (2019). Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground- and space-based observations. Atmospheric chemistry and physics, 19 (7), 4383–4392. doi:10.5194/acp-19-4383-2019
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Babić, K.; Adler, B.; Kalthoff, N.; Andersen, H.; Dione, C.; Lohou, F.; Lothon, M.; Pedruzo-Bagazgoitia, X. (2019). The observed diurnal cycle of low-level stratus clouds over southern West Africa: a case study. Atmospheric chemistry and physics, 19 (2), 1281–1299. doi:10.5194/acp-19-1281-2019
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Boldt, M.; Thiele, A.; Schulz, K.; Meyer, F. J.; Hinz, S. (2019). Practical approach for synthetic aperture radar change analysis in urban environments. Journal of applied remote sensing, 13 (03), Article: 0345281. doi:10.1117/1.JRS.13.034528
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Bradley, P. E. (2019). Methodology for the sequence analysis of building stocks. Building research and information, 47 (2), 141–155. doi:10.1080/09613218.2018.1380343
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Bradley, P. E. (2019). On the Logistic Behaviour of the Topological Ultrametricity of Data. Journal of classification, 36 (2), 266–276.
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Bradley, P. E.; Behnisch, M. (2019). Heavy-tailed distributions for building stock data. Environment and planning / B, 46 (7), 1281–1296. doi:10.1177/2399808318794499
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Erdnüß, B. (2019). Calibration and synchronization of geospatial metadata for aerial sensor systems. Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII. Ed.: I. Kadar, Art.-Nr.: 1101819, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2518905
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Eriksson, J.; Hellesen, C.; Binda, F.; Cecconello, M.; Conroy, S.; Ericsson, G.; Giacomelli, L.; Gorini, G.; Hjalmarsson, A.; Kiptily, V. G.; Mantsinen, M.; Nocente, M.; Sahlberg, A.; Salewski, M.; Sharapov, S.; Tardocchi, M. (2019). Measuring fast ions in fusion plasmas with neutron diagnostics at JET. Plasma physics and controlled fusion, 61 (1), Art. Nr.: 014027. doi:10.1088/1361-6587/aad8a6
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Fitzgerald, M.; Buchanan, J.; Sharapov, S. E.; Kiptily, V. G.; Sertoli, M.; Szepesi, G.; Boom, J.; Akers, R. J.; King, D.; Abduallev, S.; Abhangi, M.; Abreu, P.; Afzal, M.; Aggarwal, K. M.; Ahlgren, T.; Ahn, J. H.; Aho-Mantila, L.; Aiba, N.; Airila, M.; Albanese, R.; Aldred, V.; Alegre, D.; Alessi, E.; Aleynikov, P.; Alfier, A.; Alkseev, A.; Allinson, M.; Alper, B.; Alves, E.; Ambrosino, G.; Ambrosino, R.; Amicucci, L.; Amosov, V.; Sunden, E. A.; Angelone, M.; Anghel, M.; Angioni, C.; Appel, L.; Appelbee, C.; Arena, P.; Ariola, M.; Arnichand, H.; Arshad, S.; Ash, A.; Ashikawa, N.; Aslanyan, V.; Asunta, O.; Auriemma, F.; Austin, Y.; Avotina, L.; Axton, M. D.; Ayres, C.; Bacharis, M.; Baciero, A.; Baiao, D.; Bailey, S.; Baker, A.; Balboa, I.; Balden, M.; Balshaw, N.; Bament, R.; Banks, J. W.; Baranov, Y. F.; Barnard, M. A.; Barnes, D.; Barnes, M.; Barnsley, R.; Wiechec, A. B.; Orte, L. B.; Baruzzo, M.; Basiuk, V.; Bassan, M.; Bastow, R.; Batista, A.; Batistoni, P.; Baughan, R.; Bauvir, B.; Baylor, L.; Bazylev, B.; Beal, J.; Beaumont, P. S.; Beckers, M.; Beckett, B.; Becoulet, A.; Bekris, N.; Beldishevski, M.; Bell, K.; Belli, F.; Bellinger, M.; Belonohy, E.; Ben Ayed, N.; Benterman, N. A.; Bergsaker, H.; Bernardo, J.; Bernert, M.; Berry, M.; Bertalot, L.; Besliu, C.; Beurskens, M.; Bieg, B.; Bielecki, J.; Biewer, T.; Bigi, M.; Bilkova, P.; Binda, F.; Bisoffi, A.; Bizarro, J. P. S.; Bjorkas, C.; Blackburn, J.; Blackman, K.; Blackman, T. R.; Blanchard, P.; Blatchford, P.; Bobkov, V.; Boboc, A.; Bodnar, G.; Bogar, O.; Bolshakova, I.; Bolzonella, T.; Bonanomi, N.; Bonelli, F.; Boom, J.; Booth, J.; Borba, D.; Borodin, D.; Borodkina, I.; Botrugno, A.; Bottereau, C.; Boulting, P.; Bourdelle, C.; Bowden, M.; Bower, C.; Bowman, C.; Boyce, T.; Boyd, C.; Boyer, H. J.; Bradshaw, J. M. A.; Braic, V.; Bravanec, R.; Breizman, B.; Bremond, S.; Brennan, P. D.; Breton, S.; Brett, A.; Brezinsek, S.; Bright, M. D. J.; Brix, M.; Broeckx, W.; Brombin, M.; Broslawski, A.; Brown, D. P. D.; Brown, M.; Bruno, E.; Bucalossi, J.; Buch, J.; Buchanan, J.; Buckley, M. A.; Budny, R.; Bufferand, H.; Bulman, M.; Bulmer, N.; Bunting, P.; Buratti, P.; Burckhart, A.; Buscarino, A.; Busse, A.; Butler, N. K.; Bykov, I.; Byrne, J.; Cahyna, P.; Calabro, G.; Calvo, I.; Camenen, Y.; Camp, P.; Campling, D. C.; Cane, J.; Cannas, B.; Capel, A. J.; Card, P. J.; Cardinali, A.; Carman, P.; Carr, M.; Carralero, D.; Carraro, L.; Carvalho, B. B.; Carvalho, I.; Carvalho, P.; Casson, F. J.; Castaldo, C.; Catarino, N.; Caumont, J.; Causa, F.; Cavazzana, R.; Cave-Ayland, K.; Cavinato, M.; Cecconello, M.; Ceccuzzi, S.; Cecil, E.; Cenedese, A.; Cesario, R.; Challis, C. D.; Chandler, M.; Chandra, D.; Chang, C. S.; Chankin, A.; Chapman, I. T.; Chapman, S. C.; Chernyshova, M.; Chitarin, G.; Ciraolo, G.; Ciric, D.; Citrin, J.; Clairet, F.; Clark, E.; Clark, M.; Clarkson, R.; Clatworthy, D.; Clements, C.; Cleverly, M.; Coad, J. P.; Coates, P. A.; Cobalt, A.; Coccorese, V.; Cocilovo, V.; Coda, S.; Coelho, R.; Coenen, J. W.; Coffey, I.; Colas, L.; Collins, S.; Conka, D.; Conroy, S.; Conway, N.; Coombs, D.; Cooper, D.; Cooper, S. R.; Corradino, C.; Corre, Y.; Corrigan, G.; Cortes, S.; Coster, D.; Couchman, A. S.; Cox, M. P.; Craciunescu, T.; Cramp, S.; Craven, R.; Crisanti, F.; Croci, G.; Croft, D.; Crombe, K.; Crowe, R.; Cruz, N.; Cseh, G.; Cufar, A.; Cullen, A.; Curuia, M.; Czarnecka, A.; Dabirikhah, H.; Dalgliesh, P.; Dalley, S.; Dankowski, J.; Darrow, D.; Davies, O.; Davis, W.; Day, C.; Day, I. E.; De Bock, M.; Castro, A. de; Cal, E. de la; Luna, E. de la; De Masi, G.; Pablos, J. L. de; De Temmerman, G.; De Tommasi, G.; Vries, P. de; Deakin, K.; Deane, J.; Agostini, F. D.; Dejarnac, R.; Delabie, E.; Harder, N. den; Dendy, R. O.; Denis, J.; Denner, P.; Devaux, S.; Devynck, P.; Di Maio, F.; Di Siena, A.; Di Troia, C.; Dinca, P.; D’Inca, R.; Ding, B.; Dittmar, T.; Doerk, H.; Doerner, R. P.; Donne, T.; Dorling, S. E.; Dormido-Canto, S.; Doswon, S.; Douai, D.; Doyle, P. T.; Drenik, A.; Drewelow, P.; Drews, P.; Duckworth, P.; Dumont, R.; Dumortier, P.; Dunai, D.; Dunne, M.; Duran, I.; Durodie, F.; Dutta, P.; Duval, B. P.; Dux, R.; Dylst, K.; Dzysiuk, N.; Edappala, P. V.; Edmond, J.; Edwards, A. M.; Edwards, J.; Eich, T.; Ekedahl, A.; El-Jorf, R.; Elsmore, C. G.; Enachescu, M.; Ericsson, G.; Eriksson, F.; Eriksson, J.; Eriksson, L. G.; Esposito, B.; Esquembri, S.; Esser, H. G.; Esteve, D.; Evans, B.; Evans, G. E.; Evison, G.; Ewart, G. D.; Fagan, D.; Faitsch, M.; Falie, D.; Fanni, A.; Fasoli, A.; Faustin, J. M.; Fawlk, N.; Fazendeiro, L.; Fedorczak, N.; Felton, R. C.; Fenton, K.; Fernades, A.; Fernandes, H.; Ferreira, J.; Fessey, J. A.; Fevrier, O.; Ficker, O.; Field, A.; Fietz, S.; Figueiredo, A.; Figueiredo, J.; Fil, A.; Finburg, P.; Firdaouss, M.; Fischer, U.; Fittill, L.; Fitzgerald, M.; Flammini, D.; Flanagan, J.; Fleming, C.; Flinders, K.; Fonnesu, N.; Fontdecaba, J. M.; Formisano, A.; Forsythe, L.; Fortuna, L.; Fortuna-Zalesna, E.; Fortune, M.; Foster, S.; Franke, T.; Franklin, T.; Frasca, M.; Frassinetti, L.; Freisinger, M.; Fresa, R.; Frigione, D.; Fuchs, V.; Fuller, D.; Futatani, S.; Fyvie, J.; Gal, K.; Galassi, D.; Galazka, K.; Galdon-Quiroga, J.; Gallagher, J.; Gallart, D.; Galvao, R.; Gao, X.; Gao, Y.; Garcia, J.; Garcia-Carrasco, A.; Garcia-Munoz, M.; Gardarein, J.-L.; Garzotti, L.; Gaudio, P.; Gauthier, E.; Gear, D. F.; Gee, S. J.; Geiger, B.; Gelfusa, M.; Gerasimov, S.; Gervasini, G.; Gethins, M.; Ghani, Z.; Ghate, M.; Gherendi, M.; Giacalone, J. C.; Giacomelli, L.; Gibson, C. S.; Giegerich, T.; Gil, C.; Gil, L.; Gilligan, S.; Gin, D.; Giovannozzi, E.; Girardo, J. B.; Giroud, C.; Giruzzi, G.; Gloeggler, S.; Godwin, J.; Goff, J.; Gohil, P.; Goloborod’ko, V.; Gomes, R.; Goncalves, B.; Goniche, M.; Goodliffe, M.; Goodyear, A.; Gorini, G.; Gosk, M.; Goulding, R.; Goussarov, A.; Gowland, R.; Graham, B.; Graham, M. E.; Graves, J. P.; Grazier, N.; Grazier, P.; Green, N. R.; Greuner, H.; Grierson, B.; Griph, F. S.; Grisolia, C.; Grist, D.; Groth, M.; Grove, R.; Grundy, C. N.; Grzonka, J.; Guard, D.; Guerard, C.; Guillemaut, C.; Guirlet, R.; Gurl, C.; Utoh, H. H.; Hackett, L. J.; Hacquin, S.; Hagar, A.; Hager, R.; Hakola, A.; Halitovs, M.; Hall, S. J.; Cook, S. P. H.; Hamlyn-Harris, C.; Hammond, K.; Harrington, C.; Harrison, J.; Harting, D.; Hasenbeck, F.; Hatano, Y.; Hatch, D. R.; Haupt, T. D. V.; Hawes, J.; Hawkes, N. C.; Hawkins, J.; Hawkins, P.; Haydon, P. W.; Hayter, N.; Hazel, S.; Heesterman, P. J. L.; Heinola, K.; Hellesen, C.; Hellsten, T.; Helou, W.; Hemming, O. N.; Hender, T. C.; Henderson, M.; Henderson, S. S.; Henriques, R.; Hepple, D.; Hermon, G.; Hertout, P.; Hidalgo, C.; Highcock, E. G.; Hill, M.; Hillairet, J.; Hillesheim, J.; Hillis, D.; Hizanidis, K.; Hjalmarsson, A.; Hobirk, J.; Hodille, E.; Hogben, C. H. A.; Hogeweij, G. M. D.; Hollingsworth, A.; Hollis, S.; Homfray, D. A.; Horacek, J.; Hornung, G.; Horton, A. R.; Horton, L. D.; Horvath, L.; Hotchin, S. P.; Hough, M. R.; Howarth, P. J.; Hubbard, A.; Huber, A.; Huber, V.; Huddleston, T. M.; Hughes, M.; Huijsmans, G. T. A.; Hunter, C. L.; Huynh, P.; Hynes, A. M.; Iglesias, D.; Imazawa, N.; Imbeaux, F.; Imrisek, M.; Incelli, M.; Innocente, P.; Irishkin, M.; Ivanova-Stanik, I.; Jachmich, S.; Jacobsen, A. S.; Jacquet, P.; Jansons, J.; Jardin, A.; Jarvinen, A.; Jaulmes, F.; Jednorog, S.; Jenkins, I.; Jeong, C.; Jepu, I.; Joffrin, E.; Johnson, R.; Johnson, T.; Johnston, J.; Joita, L.; Jones, G.; Jones, T. T. C.; Hoshino, K. 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Full-orbit and drift calculations of fusion product losses due to explosive fishbones on JET. Nuclear fusion, 59 (1), Art. Nr.: 016004. doi:10.1088/1741-4326/aaea1e
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Weinmann, M.; Weinmann, M. (2019). Urban Scene Labeling Based on Multi-Modal Data Acquired from Aerial Sensor Platforms. 2019 Joint Urban Remote Sensing Event (JURSE), Vannes, France, France, 22 - 24 Mai 2019, 1–4, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JURSE.2019.8809035
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Weinmann, M.; Weinmann, M. (2019). Fusion of hyperspectral, multispectral, color and 3D point cloud information for the semantic interpretation of urban environments. ISPRS Geospatial Week 2019, 10-14 June 2019, Enschede, The Netherlands, 1899–1906, ISPRS. doi:10.5194/isprs-archives-XLII-2-W13-1899-2019
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Wiegner, M.; Mattis, I.; Pattantyús-Ábrahám, M.; Bravo-Aranda, J. A.; Poltera, Y.; Haefele, A.; Hervo, M.; Görsdorf, U.; Leinweber, R.; Gasteiger, J.; Haeffelin, M.; Wagner, F.; Cermak, J.; Komínková, K.; Brettle, M.; Münkel, C.; Pönitz, K. (2019). Aerosol backscatter profiles from ceilometers: validation of water vapor correction in the framework of CeiLinEx2015. Atmospheric measurement techniques, 12 (1), 471–490. doi:10.5194/amt-12-471-2019
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Woollam, J.; Rietbrock, A.; Hinz, S.; Leitloff, J. (2019). HEX: Hyperbolic Event eXtractor, a seismic phase association algorithm for regions of intense seismicity. AGU Fall Meeting 2019, San Francisco, 9 – 13 December 2019.
2018
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Andersen, H.; Cermak, J. (2018). First fully diurnal fog and low cloud satellite detection reveals life cycle in the Namib. Atmospheric measurement techniques, 11 (10), 5461–5470. doi:10.5194/amt-11-5461-2018
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Bayram, B.; Demir, N.; Akpinar, B.; Oy, S.; Erdem, F.; Vögtle, T.; Seker, D. Z. (2018). Effect of different segmentation methods using optical satellite imagery to estimate fuzzy clustering parameters for Sentinel-1A SAR images. The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (1), 39–43. doi:10.5194/isprs-archives-XLII-1-39-2018
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2018). On the categorization of high activity objects using differential attribute profiles. The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (1), 59–64. doi:10.5194/isprs-archives-XLII-1-59-2018
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2018). On the classification of high activity objects. 12th European Conference on Synthetic Aperture Radar, EUSAR 2018; Eurogress AachenAachen; Germany; 4 June 2018 through 7 June 2018, 131–136, VDE Verlag.
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Bradley, P. E.; Keller, S.; Weinmann, M. (2018). Unsupervised Feature Selection Based on Ultrametricity and Sparse Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data. Remote sensing, 10 (10), Art.Nr.: 1564. doi:10.3390/rs10101564
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Braun, A.; Stötzer, J.; Kubisch, S.; Keller, S. (2018). Critical Infrastructure Analysis (CRITIS) in Developing Regions – Designing an Approach to Analyse Peripheral Remoteness, Risks of Accessibility Loss, and Isolation due to Road Network Insufficiencies in Chile. GI-Forum, 6 (2), 302 - 321. doi:10.1553/giscience2018_02_s302
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Cermak, J. (2018). Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data. Remote sensing, 10 (8), 1209. doi:10.3390/rs10081209
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Chen, K.; Fu, K.; Sun, X.; Weinmann, M.; Hinz, S.; Jutzi, B.; Weinmann, M. (2018). DEEP SEMANTIC SEGMENTATION OF AERIAL IMAGERY BASED ON MULTI-MODAL DATA. International Geoscience and Remote Sensing Symposium, Observing, Understanding and Forecasting the Dynamics of Our Planet (IGARSS 2018), Valencia, E, July 22-17, 2018, Institute of Electrical and Electronics Engineers (IEEE).
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Chen, K.; Weinmann, M.; Gao, X.; Yan, M.; Hinz, S.; Jutzi, B. (2018). Residual Shuffling Convolutional Neural Networks for Deep Semantic Image Segmentation Using Multi-Modal Data. 2018 ISPRS TC II Mid-term Symposium "Towards Photogrammetry 2020"; Riva del Garda; Italy, June 4-7, 2018. Ed.: T. Fuse, 65–72, Copernicus Publications. doi:10.5194/isprs-annals-IV-2-65-2018
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Chen, K.; Weinmann, M.; Sun, X.; Yan, M.; Hinz, S.; Jutzi, B.; Weinmann, M. (2018). SEMANTIC SEGMENTATION OF AERIAL IMAGERY VIA MULTI-SCALE SHUFFLING CONVOLUTIONAL NEURAL NETWORKS WITH DEEP SUPERVISION. ISPRS annals, IV-1, 29–36. doi:10.5194/isprs-annals-IV-1-29-2018
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Follmann, P.; Böttger, T.; Härtinger, P.; König, R.; Ulrich, M. (2018). MVTec D2S: Densely Segmented Supermarket Dataset. Computer Vision – ECCV 2018. Ed.: V. Ferrari, 581–597, Springer. doi:10.1007/978-3-030-01249-6_35
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Fuchs, J.; Cermak, J.; Andersen, H. (2018). Building a cloud in the southeast Atlantic: understanding low-cloud controls based on satellite observations with machine learning. Atmospheric chemistry and physics, 18 (22), 16537–16552. doi:10.5194/acp-18-16537-2018
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Gabriel, R.; Keller, S.; Matthes, J.; Waibel, P.; Keller, H. B.; Hinz, S. (2018). Infrared measurements and estimation of temperature in the restrictive scope of an industrial cement plant. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018, 53–60, Curran. doi:10.5194/isprs-annals-IV-1-53-2018
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Giovanella, A.; Bradley, P. E.; Wursthorn, S. (2018). Detection and evaluation of topological consistency in CityGML datasets. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, TC IV Mid-Term Symposium on 3D Spatial Information Science - The Engine of Change; Delft; NL, October 1-5, 2018, 59–66, Copernicus Publications. doi:10.5194/isprs-annals-IV-4-59-2018
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Grinberg, M.; Ruf, B.; Monka, S.; Kollman, M.; Buller, A.; Tchouchenkov, I. (2018). Embedded Stereokamera-basierte reaktive Kollisionsvermeidung für UAVs Embedded stereo vision based reactive collision avoidance for UAVs. Forum Bildverarbeitung 2018. Hrsg.: T. Längle, P. L. Fernando, M. Heizmann, 277–290, KIT Scientific Publishing. doi:10.5445/IR/1000088327
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Grudzielanek, A. M.; Cermak, J. (2018). Temporal Patterns and Vertical Temperature Gradients in Micro-Scale Drainage Flow Observed Using Thermal Imaging. Atmosphere, 9 (12), Article: 498. doi:10.3390/atmos9120498
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Heublein, M.; Alshawaf, F.; Erdnüß, B.; Zhu, X. X.; Hinz, S. (2018). Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations. Journal of geodesy, 1–21. doi:10.1007/s00190-018-1152-0
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Hübner, P.; Weinmann, M.; Hillemann, M.; Jutzi, B.; Wursthorn, S. (2018). Combining independent visualization and tracking systems for augmented reality. 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 455–462, International Society for Photogrammetry and Remote Sensing. doi:10.5194/isprs-archives-XLII-2-455-2018
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Hübner, P.; Weinmann, M.; Wursthorn, S. (2018). Marker-based localization of the Microsoft HoloLens in building models. ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications", 195–202, International Society for Photogrammetry and Remote Sensing. doi:10.5194/isprs-archives-XLII-1-195-2018
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Ilehag, R.; Bulatov, D.; Helmholz, P.; Belton, D. (2018). Classification and representation of commonly used roofing material using multisensorial aerial data. The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (1), 217–224. doi:10.5194/isprs-archives-XLII-1-217-2018
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Jutzi, B.; Weinmann, M.; Hinz, S. (2018). PREFACE. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1, 1–3. doi:10.5194/isprs-archives-XLII-1-1-2018
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Jutzi, B.; Weinmann, M.; Hinz, S. (2018). PREFACE. ISPRS annals, IV-1, 1–3. doi:10.5194/isprs-annals-IV-1-1-2018
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Keller, S.; Maier, P.; Riese, F.; Norra, S.; Holbach, A.; Börsig, N.; Wilhelms, A.; Moldaenke, C.; Zaake, A.; Hinz, S. (2018). Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity. International journal of environmental research and public health, 15 (9), 1881/1–15. doi:10.3390/ijerph15091881
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Keller, S.; Riese, F. M.; Allroggen, N.; Jackisch, C.; Hinz, S. (2018). Modeling Subsurface Soil Moisture Based on Hyperspectral Data : First Results of a Multilateral Field Campaign. Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie 2018 (PFGK18) : Beiträge der 37. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 5. Münchner GI-Runde Runder Tisch GIS e.V. und des 66. Deutscher Kartographie Kongress der DGfK e.V., München, Deutschland, 7. - 9. März 2018. Hrsg.: T. P. Kersten, 34–48, Deutsche Gesellschaft für Photogrammetrie.
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Keller, S.; Riese, F. M.; Stötzer, J.; Maier, P. M.; Hinz, S. (2018). Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - Symposium “Innovative Sensing – From Sensors to Methods and Applications”, Karlsruhe, Germany, 10–12 October 2018. Volume: IV-1, 101–108, ISPRS. doi:10.5194/isprs-annals-IV-1-101-2018
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Kern, J.; Schenk, A.; Hinz, S. (2018). Radiometric Calibration of a UAV-Mounted Hyperspectral Snapshot Camera with Focus on Uniform Spectral Sampling. 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018), Amsterdam, NL, September 23-26, 2018, Article No.8747027, IEEE Computer Society. doi:10.1109/WHISPERS.2018.8747027
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Kim, M.; Lee, J.; Han, D.; Shin, M.; Im, J.; Lee, J.; Quackenbush, L. J.; Gu, Z. (2018). Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery. IEEE journal of selected topics in applied earth observations and remote sensing, 11 (12), 4604–4617. doi:10.1109/JSTARS.2018.2880783
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Kim, M.; Lee, J.; Im, J. (2018). Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data. GIScience and remote sensing, 55 (5), 763–792. doi:10.1080/15481603.2018.1457201
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Kuny, S.; Ihrig, R.; Boldt, M.; Thiele, A. (2018). Study on phenological changes in TerraSAR-X time series. 12th European Conference on Synthetic Aperture Radar, EUSAR 2018; Eurogress AachenAachen; Germany; 4 June 2018 through 7 June 2018, 55–58, VDE Verlag.
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Leitloff, J.; Riese, F. M. (2018). Examples for CNN training and classification on Sentinel-2 data. doi:10.5281/zenodo.3268451
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Maier, P. M.; Hinz, S.; Keller, S. (2018). Estimation of Chlorophyll a, Diatoms and Green Algae Based on Hyperspectral Data with Machine Learning Approaches. Photogrammetrie, Fernerkundung, Geoinformatik, Kartographie 2018 (PFGK18) : Beiträge der 37. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 5. Münchner GI-Runde Runder Tisch GIS e.V. und des 66. Deutscher Kartographie Kongress der DGfK e.V., München, Deutschland, 7. - 10. März 2018. Hrsg.: T. P. Kersten, 49–57, Deutsche Gesellschaft für Photogrammetrie.
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Maier, P. M.; Keller, S. (2018). Machine learning regression on hyperspectral data to estimate multiple water parameters.
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Mandlburger, G.; Jutzi, B. (2018). FEASIBILITY INVESTIGATION ON SINGLE PHOTON LIDAR BASED WATER SURFACE MAPPING. ISPRS annals, IV-1, 109–116. doi:10.5194/isprs-annals-IV-1-109-2018
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Mueller, M.; Metzger, A.; Jutzi, B. (2018). CNN-Based Initial Localization Improved by Data Augmentation. ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany, 117–124, ISPRS. doi:10.5194/isprs-annals-IV-1-117-2018
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Mueller, M. S.; Jutzi, B. (2018). UAS Navigation with SqueezePoseNet—Accuracy Boosting for Pose Regression by Data Augmentation. Drones, 2 (1), 7. doi:10.3390/drones2010007
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Müller, M.; Stüker, S.; Waibel, A. (2018). Neural language codes for multilingual acoustic models. 19th Annual Conference of the International Speech Communication, INTERSPEECH 2018; Hyderabad International Convention Centre (HICC)Hyderabad; India; 2 September 2018 through 6 September 2018. Ed.: C. C. Sekhar, 2419–2423, ISCA. doi:10.21437/Interspeech.2018-1241
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Müller, T.; Erdnüß, B. (2018). Stochastische Mustererkennung zur Bildsegmentierung = Stochastic pattern recognition for image segmentation. Forum Bildverarbeitung 2018. Hrsg.: T. Längle, P. L. Fernando, M. Heizmann, 173–184, KIT Scientific Publishing. doi:10.5445/IR/1000088266
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Niessner, R.; Schilling, H.; Hinz, S.; Jutzi, B. (2018). Klassifikation von Fahrzeugen aus RGB- und LiDAR-Daten mit Convolutional Neural Networks. 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung, München, 7-9. März 2018. Hrsg.: T.P. Kersten, 767–777, DGPF.
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Nilo, S. T.; Romano, F.; Cermak, J.; Cimini, D.; Ricciardelli, E.; Cersosimo, A.; Paola, F. D.; Gallucci, D.; Gentile, S.; Geraldi, E.; Larosa, S.; Ripepi, E.; Viggiano, M. (2018). Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel. Remote sensing, 10 (4), Art.Nr. 541. doi:10.3390/rs10040541
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Riese, F. M.; Keller, S. (2018). Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22nd - 27th July, 2018, 6151–6154, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2018.8517812
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Riese, F. M.; Keller, S. (2018, April 24). Hyperspectral benchmark dataset on soil moisture. doi:10.5281/zenodo.1227837
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Riese, F. M.; Keller, S. (2018). Fusion of hyperspectral and ground penetrating radar data to estimate soil moisture. 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (Whispers 2018), Amsterdam, NL, September 23-26, 2018, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS.2018.8747076
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Ruf, B.; Monka, S.; Kollmann, M.; Grinberg, M. (2018). Real-Time On-Board Obstacle Avoidance for UAVs based on Embedded Stereo Vision. The international archives of photogrammetry, remote sensing and spatial information sciences, XLII-1, 363–370. doi:10.5194/isprs-archives-XLII-1-363-2018
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Ruf, B.; Thiel, L.; Weinmann, M. (2018). Deep Cross-Domain Building Extraction for Selective Depth Estimation from Oblique Aerial Imagery. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-1, 125–132. doi:10.5194/isprs-annals-IV-1-125-2018
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Siegfarth, C.; Voegtle, T.; Fabinski, C. (2018). Comparison of two methods for 2D pose estimation of industrial workpieces in images - CNN vs. Classical image processing system. The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (1), 401–405. doi:10.5194/isprs-archives-XLII-1-401-2018
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Stirnberg, R.; Cermak, J.; Andersen, H. (2018). An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10. Remote sensing, 10 (9), Art.-Nr.: 1353/1–17. doi:10.3390/rs10091353
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Weinmann, M.; Blomley, R.; Weinmann, M.; Jutzi, B. (2018). Investigations on the potential of binary and multi-class classification for object extraction from airborne laser scanning point clouds. 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung, München, 7-9. März 2018. Hrsg.: T.P. Kersten, 408–421, DGPF.
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Weinmann, M.; Weidner, U. (2018). Land-Cover and Land-Use Classification Based on Multitemporal Sentinel-2 Data. IEEE International Geoscience & Remote Sensing Symposium : proceedings : July 22–27, 2018, Valencia, Spain, 4946–4949, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2018.8519301
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Weinmann, M.; Weinmann, M. (2018). Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information?. Remote sensing, 10 (1), 2. doi:10.3390/rs10010002
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Weinmann, M.; Maier, P. M.; Florath, J.; Weidner, U. (2018). Investigation on the potential of hyperspectral and Sentinel-2 data for land-cover / land-use classification. 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018. Ed.: S. Hinz, 155–162, Curran. doi:10.5194/isprs-annals-IV-1-155-2018
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Weinmann, M.; Weidner, U. (2018). Erste Erfahrungen mit der Nutzung von Sentinel-2 Daten zur multispektralen und multitemporalen Analyse mit verschiedenen Klassifizierungsverfahren. Photogrammetrie - Fernerkundung - Geoinformatik - Kartographie - 2018 : 38. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., 5. Münchner GI-Runde Runder Tisch GIS e.V., 66. Deutscher Kartographie Kongress der DGfK e.V. : 7.-9. März 2018 in München : Beiträge, 58–70, DGPF.
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Welte, A.; Hammer, H.; Thiele, A.; Hinz, S. (2018). Urban change detection in TanDEM-X interferograms. 12th European Conference on Synthetic Aperture Radar, EUSAR 2018; Eurogress AachenAachen; Germany; 4 June 2018 through 7 June 2018, 148–152, VDE Verlag.
2017
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Andersen, H.; Cermak, J.; Fuchs, J.; Knutti, R.; Lohmann, U. (2017). Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks. Atmospheric chemistry and physics, 17 (15), 9535–9546. doi:10.5194/acp-17-9535-2017
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Bartelsen, J.; Müller, T.; Ring, J.; Mück, K.; Brüstle, S.; Erdnüß, B.; Lutz, B.; Herbst, T. (2017). Video change detection for fixed wing UAVs. SPIE Security + Defence : Target and Background Signatures, Warsaw, Poland, 11th - 14th September 2017, Art.Nr. 104320K, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2278094
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Blomley, R.; Hovi, A.; Weinmann, M.; Hinz, S.; Korpela, I.; Jutzi, B. (2017). Tree species classification using within crown localization of waveform LiDAR attributes. ISPRS journal of photogrammetry and remote sensing, 133, 142–156. doi:10.1016/j.isprsjprs.2017.08.013
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2017). Change Classification in SAR Time Series : A Functional Approach. SPIE Remote Sensing : Earth Resources and Environmental Remote Sensing/GIS Applications VIII, Warsaw, Poland, 11th - 14th September 2017, Art.Nr. 1042802, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2277578
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Böttger, T.; Ulrich, M.; Steger, C. (2017). Subpixel-Precise Tracking of Rigid Objects in Real-Time. Image Analysis. Part 1. Ed.: P. Sharma, 54–65, Springer Verlag. doi:10.1007/978-3-319-59126-1_5
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Bradley, P. E. (2017). Finding Ultrametricity in Data using Topology. Journal of classification, 34 (1), 76–84. doi:10.1007/s00357-017-9228-8
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Breunig, M.; Borrmann, A.; Rank, E.; Hinz, S.; Kolbe, T.; Schilcher, M.; Mundani, R.-P.; Jubierre, J. R.; Flurl, M.; Thomsen, A.; Donaubauer, A.; Ji, Y.; Urban, S.; Laun, S.; Vilgertshofer, S.; Willenborg, B.; Menninghaus, M.; Steuer, H.; Wursthorn, S.; Leitloff, J.; Al-Doori, M.; Mazroobsemnani, N. (2017). Collaborative multi-scale 3D city and infrastructure modeling and simulation. The international archives of photogrammetry, remote sensing and spatial information sciences, 42 (4W4), 341–352. doi:10.5194/isprs-archives-XLII-4-W4-341-2017
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CEDIM. (2017). CEDIM Research Report 2015-2016. (M. Kunz & A. Dittrich, Hrsg.), CEDIM. doi:10.5445/IR/1000069933
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Dittrich, A.; Weinmann, M.; Hinz, S. (2017). Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data. ISPRS journal of photogrammetry and remote sensing, (126), 195–208. doi:10.1016/j.isprsjprs.2017.02.012
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Drost, B.; Ulrich, M.; Bergmann, P.; Härtinger, P.; Steger, C. (2017). Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2200–2208, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCVW.2017.257
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Dubois, C.; Nascetti, A.; Thiele, A.; Crespi, M.; Hinz, S. (2017). SAR-SIFT for matching multiple SAR images and radargrammetry [SAR-SIFT für das Matching von Multiplen SAR Bildern und Radargrammetry]. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 85 (3), 149–158. doi:10.1007/s41064-017-0019-y
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Erdnüß, B. (2017). Das baryzentrische Verhältnis als Invariante der projektiven Geometrie = The barycentric ratio as invariant of projective geometry. Technisches Messen, 84 (7-8), 479–492. doi:10.1515/teme-2017-0014
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Fuchs, J.; Cermak, J.; Andersen, H.; Hollmann, R.; Schwarz, K. (2017). On the Influence of Air Mass Origin on Low-Cloud Properties in the Southeast Atlantic. Journal of geophysical research / Atmospheres. doi:10.1002/2017JD027184
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Hillemann, M.; Jutzi, B. (2017). UCalMiCeL - Unified Intrinsic and Extrinsic Calibration of a Multi-Camera-System and a Laserscanner. 4th ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences - International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4.-7. September 2017. Ed.: C. Stachniss. Vol. IV-2/W3., 49–57, ISPRS. doi:10.5194/isprs-annals-IV-2-W3-17-2017
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Ihrig, R.; Kuny, S.; Thiele, A.; Hinz, S. (2017). Analysis of phenological changes of high vegetation in amplitude images of SAR time series. SPIE Remote Sensing : Earth Resources and Environmental Remote Sensing/GIS Applications VIII, Warsaw, Poland, 11th - 14th September 2017, Art.Nr. 104280W, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2278417
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Ilehag, R.; Weinmann, M.; Schenk, A.; Keller, S.; Jutzi, B.; Hinz, S. (2017). Revisiting Existing Classification Approaches for Building Materials Based on Hyperspectral Data. The international archives of photogrammetry, remote sensing and spatial information sciences, XLII-3/W3, 65–71. doi:10.5194/isprs-archives-XLII-3-W3-65-2017
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Ilehag, R.; Auer, S.; D’Angelo, P. (2017). Exploitation of digital surface models generated from worldview-2 data for sar simulation techniques. 2017 ISPRS Hannover Workshop : High-Resolution Earth Imaging for Geospatial Information (HRIGI 17) - City Models, Roads and Traffic (CMRT 17) - Image Sequence Analysis (ISA 17) - European Calibration and Orientation Workshop (EuroCOW 17), Hannover, Germany, 6-9 June 2017. Ed.: C. Heipke, 55–61. doi:10.5194/isprs-archives-XLII-1-W1-55-2017
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Ilehag, R.; Schenk, A.; Hinz, S. (2017). Concept for classifying facade elements based on material, geometry and thermal radiation using multimodal UAV remote sensing. 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017, 145–151, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLII-2-W6-145-2017
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Jahn, M. W.; Bradley, P. E.; Al Doori, M.; Breunig, M. (2017). Topologically Consistent Models for Efficient Big Geo-Spatio-Temporal Data Distribution. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 12th 3D Geoinfo Conference 2017, Melbourne, Australia, 26th - 27th October 2017, 65–72, Copernicus Publications. doi:10.5194/isprs-annals-IV-4-W5-65-2017
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Jutzi, B. (2017). Less Photons for more LiDAR? A Review from Multi-Photon-Detection to Single-Photon-Detection. 56th Photogrammetric Week (PhoWo 2017), Stuttgart, 11.-15. September 2017, 6 S.
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Keller, S.; Braun, A. C.; Hinz, S.; Weinmann, M. (2017). Investigation of the Potential of Hyperspectral EnMAP Data for Land Cover and Land Use Classification. Kulturelles Erbe erfassen und bewahren : Von der Dokumentation zum virtuellen Rundgang : 37. Wissenschaftlich-Technische Jahrestagung der DGPF, Würzburg, Deutschland, 7.-10. März 2017. Hrsg.: T. P. Kersten, 110–121, DGPF.
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Kern, J.; Weinmann, M.; Wursthorn, S. (2017). Projector-Based Augmented Reality for Quality Inspection of Scanned Objects. The international archives of photogrammetry, remote sensing and spatial information sciences, IV-2/W4, 83–90. doi:10.5194/isprs-annals-IV-2-W4-83-2017
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Kim, M.; Im, J.; Park, H.; Park, S.; Lee, M.-I.; Ahn, M.-H. (2017). Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery. Remote sensing, 9 (7), Article: 685. doi:10.3390/rs9070685
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Landrieu, L.; Mallet, C.; Weinmann, M. (2017). Comparison of belief propagation and graph-cut approaches for contextual classification of 3D lidar point cloud data. 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017; Fort Worth; United States; 23 July 2017 through 28 July 2017, 2768–2771, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2017.8127571
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Landrieu, L.; Raguet, H.; Vallet, B.; Mallet, C.; Weinmann, M. (2017). A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds. ISPRS journal of photogrammetry and remote sensing, 132, 102–118. doi:10.1016/j.isprsjprs.2017.08.010
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Müller, M. S.; Urban, S.; Jutzi, B. (2017). SQUEEZEPOSENET: Image based pose regression with small convolutional neural networks for real time uas navigation. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences - International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4–7 September 2017. Vol.: IV-2/W3, 49–57, ISPRS. doi:10.5194/isprs-annals-IV-2-W3-49-2017
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Niessner R.; Schilling H.; Jutzi, B. (2017). Investigations on the potential of Convolutional Neural Networks for vehicle classification based on RGB and LiDAR data. 4th ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences - International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4.-7. September 2017. Ed.: C. Stachniss. Vol. IV-1/W1, 115–123, ISPRS. doi:10.5194/isprs-annals-IV-1-W1-115-2017
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Ruf, B.; Erdnüss, B.; Weinmann, M. (2017). Determining plane-sweep sampling points in image space using the cross-ratio for image-based depth estimation. 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017, 325–332, International Society for Photogrammetry and Remote Sensing. doi:10.5194/isprs-archives-XLII-2-W6-325-2017
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Schwarz, K.; Cermak, J.; Fuchs, J.; Andersen, H. (2017). Mapping the Twilight Zone : What We Are Missing between Clouds and Aerosols. Remote sensing, 9 (6), 577. doi:10.3390/rs9060577
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Urban, S.; Jutzi, B. (2017). LaFiDa—A Laserscanner Multi-Fisheye Camera Dataset. Journal of Imaging, 3 (1), 5. doi:10.3390/jimaging3010005
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Urban, S.; Weinmann, M.; Hinz, S. (2017). MdBRIEF - a fast online-adaptable, distorted binary descriptor for real-time applications using calibrated wide-angle or fisheye cameras. Computer vision and image understanding, 162, 71–86. doi:10.1016/j.cviu.2017.08.011
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Urban, S.; Wursthorn, S.; Leitloff, J.; Hinz, S. (2017). MultiCol Bundle Adjustment : A Generic Method for Pose Estimation, Simultaneous Self-Calibration and Reconstruction for Arbitrary Multi-Camera Systems. International journal of computer vision, 121 (2), 234–252. doi:10.1007/s11263-016-0935-0
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Wastlhuber, R.; Hock, R.; Kienholz, C.; Braun, M. (2017). Glacier Changes in the Susitna Basin, Alaska, USA, (1951–2015) using GIS and Remote Sensing Methods. Remote sensing, 9 (5), 478. doi:10.3390/rs9050478
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Weinmann, M.; Jutzi, B.; Mallet, C.; Weinmann, M. (2017). Geometric Features and their Relevance for 3D Point Cloud Classification. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4 (1W1), 157–164. doi:10.5194/isprs-annals-IV-1-W1-157-2017
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Weinmann, M.; Mallet, C.; Jutzi, B. (2017). Involving Different Neighborho od Types for the Analysis of Low-level Geometri c 2D and 3D Features and their Relevance for Po int Cloud Classification. Kulturelles Erbe erfassen und bewahren - Von der Dokumentation zum virtuellen Rundgang. 37. Wissenschaftlich-Technische Jahrestagung der DGPF, Würzburg, 7.-10. März 2017. Hrsg.: T. P. Kersten, 179–191, Deutsche Gesellschaft für Photogrammetrie.
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Weinmann, M.; Müller, M. S.; Hillemann, M.; Reydel, N.; Hinz, S.; Jutzi, B. (2017). Point cloud analysis for UAV-borne laser scanning with horizontally and vertically oriented line scanners - Concept and first results. 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017, 399–406, International Society for Photogrammetry and Remote Sensing. doi:10.5194/isprs-archives-XLII-2-W6-399-2017
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Weinmann, M.; Weinmann, M.; Mallet, C.; Brédif, M. (2017). A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas. Remote sensing, 9 (3), Art.Nr. 277. doi:10.3390/rs9030277
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Welte, A.; Hammer, H.; Thiele, A.; Hinz, S. (2017). Simulation of TanDEM-X Interferograms for Urban Change Detection. SPIE Remote Sensing : Earth Resources and Environmental Remote Sensing/GIS Applications VIII, Warsaw, Poland, 11th - 14th September 2017, Art.Nr. 1042804, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2278408
2016
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Andersen, H.; Cermak, J.; Fuchs, J.; Schwarz, K. (2016). Global observations of cloud-sensitive aerosol loadings in low-level marine clouds. Journal of geophysical research / Atmospheres, 121 (21), 12,936–12,946. doi:10.1002/2016JD025614
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Blomley, R.; Jutzi, B.; Weinmann, M. (2016). Classification of airborne laser scanning data using geometric multi-scale features and different neighbourhood types. ISPRS annals, (3), 169–176. doi:10.5194/isprs-annals-III-3-169-2016
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Boldt, M.; Falge, R.; Thiele, A.; Schulz, K.; Hinz, S. (2016). Towards the categorization of changes at stuttgart airport. EUSAR 2016 : 11th European Conference on Synthetic Aperture Radar, 06 - 09 June, 2016, Hamburg, Germany, 7559372, VDE Verlag.
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2016). An iterative approach to optimize change classification in SAR time series data. Earth Resources and Environmental Remote Sensing/GIS Applications VII; Edinburgh, UK,September 27-29, 2016. Ed.: U. Michel, 100050X, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2240941
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Böttger, T.; Ulrich, M. (2016). Real-Time Texture Error Detection on Textured Surfaces with Compressed Sensing. Pattern recognition and image analysis, 26 (1), 88–94. doi:10.1134/S1054661816010053
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Bradley, P. E. (2016). Ultrametricity indices for the Euclidean and Boolean hypercubes. P-adic numbers, ultrametric analysis, and applications, 8 (4), 298–311. doi:10.1134/S2070046616040038
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Dierenbach, K. O.; Weinmann, M.; Jutzi, B. (2016). Next-Best-View method based on consecutive evaluation of topological relations. 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, Prague, CZ, July 12- 19, 2016. Ed.: L. Halounova, 11–19, International Society for Photogrammetry and Remote Sensing. doi:10.5194/isprsarchives-XLI-B3-11-2016
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Dubois, C.; Thiele, A.; Hinz, S. (2016). Building detection and building parameter retrieval in InSAR phase images. ISPRS journal of photogrammetry and remote sensing, 114, 228–241. doi:10.1016/j.isprsjprs.2016.02.009
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Egli, S.; Thies, B.; Drönner, J.; Cermak, J.; Bendix, J. (2016). A 10 year fog and low stratus climatology for Europe based on Meteosat Second Generation data. Quarterly journal of the Royal Meteorological Society, 143 (702), 530–541. doi:10.1002/qj.2941
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Erdnüß, B. (2016). Projektive Invarianten höherdimensionaler Punktkonfigurationen = Projective invariants of higher dimensional point configurations. Forum Bildverarbeitung 2016. Hrsg.: M. Heizmann, 125–136, KIT Scientific Publishing.
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Gong, W.; Thiele, A.; Hinz, S.; Meyer, F. J.; Hooper, A.; Agram, P. S. (2016). Comparison of small baseline interferometric SAR processors for estimating ground deformation. Remote sensing, 8 (4), Art. Nr. 330. doi:10.3390/rs8040330
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Hammer, H.; Dubois, C.; Boldt, M.; Kuny, S.; Cadario, E.; Thiele, A. (2016). Comparison of multiple methods for detecting changes in urban areas in TerraSAR-X data. Earth Resources and Environmental Remote Sensing/GIS Applications VII. Ed.: U. Michel, 100050Y, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2241315
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Han, H.; Im, J.; Kim, M.; Sim, S.; Kim, J.; Kim, D.- jin; Kang, S.-H. (2016). Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data. Remote sensing, 8 (1), Article: 57. doi:10.3390/rs8010057
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Haraké, L.; Schilling, H.; Blohm, C.; Hillemann, M.; Lenz, A.; Becker, M.; Keskin, G.; Middelmann, W. (2016). Concept for an airborne real-time ISR system with multi-sensor 3D data acquisition. Electro-Optical and Infrared Systems: Technology and Applications XIII, SPIE Security + Defence, 2016, Edinburgh, United Kingdom, 26-29 September 2016. Ed.: D. A. Huckridge, 998709, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2241051
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Kalb, T.; Kalms, L.; Gohringer, D.; Pons, C.; Marty, F.; Muddukrishna, A.; Jahre, M.; Kjeldsberg, P. G.; Ruf, B.; Schuchert, T.; Tchouchenkov, I.; Ehrenstrahle, C.; Christensen, F.; Paolillo, A.; Lemer, C.; Bernard, G.; Duhem, F.; Millet, P. (2016). TULIPP: Towards ubiquitous low-power image processing platforms. Proceedings, 2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XVI) : July 17-21, 2016, Samos, Greece. Ed.: Walid Najjar, 306–311, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SAMOS.2016.7818363
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Keller, S.; Braun, A. C.; Hinz, S.; Weinmann, M. (2016). Investigation of the impact of dimensionality reduction and feature selection on the classification of hyperspectral EnMAP data. 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Los Angeles, USA, 21 - 24 August 2016, 1–6.
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Kuny, S.; Hammer, H.; Schulz, K. (2016). Assessing the suitability of simulated sar signatures of debris for the usage in damage detection. 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016, Prague, Czech Republic, 12 - 19 July 2016, 877–881. doi:10.5194/isprsarchives-XLI-B3-877-2016
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Kuny, S.; Hammer, H.; Schulz, K.; Hinz, S. (2016). Towards a reliable detection of debris in high resolution SAR Images of Urban Areas. 11th European Conference on Synthetic Aperture Radar, EUSAR 2016; Hamburg; Germany; 6 June 2016 through 9 June 2016, Art. Nr.: 7559416, VDE Verlag.
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Lee, S.; Im, J.; Kim, J.; Kim, M.; Shin, M.; Kim, H.- cheol; Quackenbush, L. (2016). Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. Remote sensing, 8 (9), Article: 698. doi:10.3390/rs8090698
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Lehner, M.; Whiteman, C. D.; Hoch, S. W.; Crosman, E. T.; Jeglum, M. E.; Cherukuru, N. W.; Calhoun, R.; Adler, B.; Kalthoff, N.; Rotunno, R.; Horst, T. W.; Semmer, S.; Brown, W. O. J.; Oncley, S. P.; Vogt, R.; Grudzielanek, A. M.; Cermak, J.; Fonteyne, N. J.; Bernhofer, C.; Pitacco, A.; Klein, P. (2016). THE METCRAX II Field Experiment - A Study of Downslope Windstorm-Type Flows in Arizona’s Meteor Crater. Bulletin of the American Meteorological Society, 97 (2), 217–235. doi:10.1175/BAMS-D-14-00238.1
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Makowski Giannoni, S.; Trachte, K.; Rollenbeck, R.; Lehnert, L.; Fuchs, J.; Bendix, J. (2016). Atmospheric salt deposition in a tropical mountain rainforest at the eastern Andean slopes of south Ecuador – Pacific or Atlantic origin?. Atmospheric chemistry and physics, 16 (15), 10241–10261. doi:10.5194/acp-16-10241-2016
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Mueller, M.; Voegtle, T. (2016). Determination of Steering Wheel Angles During Car Alignment by Image Analysis Methods. XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic, 77–83, ISPRS. doi:10.5194/isprsarchives-XLI-B5-77-2016
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Ruf, B.; Schuchert, T. (2016). Towards real-time change detection in videos based on existing 3D models. Proceedings of SPIE : The International Society for Optical Engineering. Hrsg.: L. Bruzzone, 100041H, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2241992
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Thiele, A.; Dubois, C.; Boldt, M.; Hinz, S. (2016). Using TanDEM data for forest height estimation and change detection. Earth Resources and Environmental Remote Sensing/GIS Applications VII, Edingburgh, UK, September 26, 2016. Ed.: U. Michel, 1000514, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2241795
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Ulrich, M.; Steger, C. (2016). Hand-Eye Calibration of SCARA Robots Using Dual Quaternions. Pattern recognition and image analysis, 16 (1), 231–239. doi:10.1134/S1054661816010272
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Urban, S.; Leitloff, J.; Hinz, S. (2016). MLPnP - A real-time maximum likelihood solution to the perspective-n-point problem. ISPRS journal of photogrammetry and remote sensing, III-3, 131–138. doi:10.5194/isprs-annals-III-3-131-2016
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Vogelbacher, M.; Waibel, P.; Matthes, J.; Keller, S.; Keller, H. B. (2016). Bildbasierte Überwachung und Optimierung der Verbrennung von alternativen Brennstoffen bei Mehrstoffbrennern. Anlagenbezogenes Monitoring : neue Anforderungen - neue Konzepte ; Würzburg, 25. und 26. Oktober 2016, 201–212, VDI Verlag.
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Zhu, W.; Wursthorn, S.; Simons, A.; Nichersu, A. (2016). Integration of CityGML and air quality spatio-temporal data series via OGC SOS. Geospatial Sensor Webs Conference (GSW); Munster; Germany, 29 - 31 August 2016. Ed.: S. Jirka, 1–6, RWTH Aachen.
2015
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Alshawaf, F.; Hinz, S.; Mayer, M.; Meyer, F. J. (2015). Constructing accurate maps of atmospheric water vapor by combining interferometric synthetic aperture radar and GNSS observations. Journal of geophysical research / Atmospheres, 120 (4), 1391–1403. doi:10.1002/2014JD022419
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Alshawaf, F.; Fersch, B.; Hinz, S.; Kunstmann, H.; Mayer, M.; Meyer, F. J. (2015). Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations. Hydrology and earth system sciences discussions, 12 (1), 363–404. doi:10.5194/hessd-12-363-2015
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Alshawaf, F.; Fersch, B.; Hinz, S.; Kunstmann, H.; Mayer, M.; Meyer, F. J. (2015). Water vapor mapping by fusing InSAR and GNSS remote sensing data and atmospheric simulations. Hydrology and Earth System Sciences, 19 (12), 4747–4764. doi:10.5194/hess-19-4747-2015
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Alshawaf, F.; Fuhrmann, T.; Knopfler, A.; Luo, X.; Mayer, M.; Hinz, S.; Heck, B. (2015). Accurate Estimation of Atmospheric Water Vapor Using GNSS Observations and Surface Meteorological Data. IEEE transactions on geoscience and remote sensing, 53 (7), 3764–3771. doi:10.1109/TGRS.2014.2382713
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Andersen, H.; Cermak, J. (2015). How thermodynamic environments control stratocumulus microphysics and interactions with aerosols. Environmental research letters, 10 (2), Art. Nr.: 024004. doi:10.1088/1748-9326/10/2/024004
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Böttger, T.; Ulrich, M. (2015). Real-Time Texture Error Detection on Textured Surfaces With Compressed Sensing. Proceedings of the OGRW 2014. Ed.: P. Dietrich, 205–210, University of Koblenz-Landau.
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Bradley, P. E. (2015). Supporting Data Analytics for Smart Cities : An Overview of Data Models and Topology. Statistical Learning and Data Sciences : Proceedings of the 3rd International Symposium, SLDS 2015, Egham, UK, 20th - 23rd April 2015. Ed.: A. Gammerman, 406–413, Springer. doi:10.1007/978-3-319-17091-6_35
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Bradley, P. E.; Braun, A. C. (2015). Finding the Asymptotically Optimal Baire Distance for Multi-Channel Data. Applied mathematics, 06 (3), 484–495. doi:10.4236/am.2015.63046
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Braun, A. C.; Weinmann, M.; Keller, S.; Müller, R.; Reinartz, P.; Hinz, S. (2015). The EnMAP contest: developing and comparing classification approaches for the Environmental Mapping and Analysis Programme - Dataset and first results. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Geospatial Week 2015; La Grande Motte; France; 28 September 2015 through 3 October 2015. Ed.: N. Paparoditis, 169–175, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprsarchives-XL-3-W3-169-2015
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Buchmann, E.; Bradley, P. E.; Böhm, K. (2015). Deriving Bounds on the Size of Spatial Areas. Open Journal of Databases, 2 (1), 1–16.
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Dierenbach, K.; Ostrowski, S.; Jozkow, G.; Toth, C. K.; Grejner-Brzezinska, D. A.; Koppanyi, Z. (2015). UWB for navigation in GNSS compromised environments. Proceedings of the 28th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2015), Tampa, Florida, September 15-18, 2015, 2380–2389, Institute of Navigation.
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Dittrich, A.; Vasardani, M.; Winter, S.; Baldwin, T.; Liu, F. (2015). A Classification Schema for Fast Detection of Locative Expressions in Social Media Data. Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS’15), Seattle, WA, Association for Computing Machinery (ACM). doi:10.1145/2833165.2833167
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Flake, S.; Cermak, J.; Sprenger, S. (2015). Authentizität beim Lernen - Eine empirische Untersuchung zur Vermittlung des globalen Klimawandels im Geographieunterricht. Zeitschrift für Geographiedidaktik, 43 (3), 233–253.
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Fuchs, J.; Cermak, J. (2015). Where Aerosols Become Clouds-Potential for Global Analysis Based on CALIPSO Data. Remote sensing, 7 (4), 4178–4190. doi:10.3390/rs70404178
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Grudzielanek, A. M.; Cermak, J. (2015). Capturing Cold-Air Flow Using Thermal Imaging. Boundary layer meteorology, 157 (2), 321–332. doi:10.1007/s10546-015-0042-8
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Gultepe, I.; Zhou, B.; Milbrandt, J.; Bott; Li, Y.; Heymsfield, J.; Ferrier, B.; Ware, R.; Pavolonis, M.; Kuhn, T.; Gurka, J.; Liu, P.; Cermak, J. (2015). A review on ice fog measurements and modeling. Atmospheric research, 151, 2–19. doi:10.1016/j.atmosres.2014.04.014
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Heublein, M.; Zhu, X. X.; Alshawaf, F.; Mayer, M.; Bamler, R.; Hinz, S. (2015). Compressive sensing for neutrospheric water vapor tomography using GNSS and InSAR observations. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy, 26-31 July 2015, 5268–5271, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2015.7327023
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Hinz, S.; Jutzi, B.; Kron, A.; Leitloff, J.; Musall, M.; Nestmann, F.; Brockmann, H. (2015). Ableitung von Flussvorlandrauheiten aus Laserdaten für die hydrodynamisch-numerische Modellierung. Wasserstraßenbezogene geodätische Anwendungen und Produkte der Fernerkundung, Kolloquium am 18./19.11.2014 in Koblenz, 28–34, Bundesanstalt für Gewässerkunde.
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Kim, M.; Im, J.; Han, H.; Kim, J.; Lee, S.; Shin, M.; Kim, H.-C. (2015). Landfast sea ice monitoring using multisensor fusion in the Antarctic. GIScience and remote sensing, 52 (2), 239–256. doi:10.1080/15481603.2015.1026050
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Kron, A.; Jutzi, B.; Leitloff, J.; Musall, M.; Nestmann, F.; Hinz, S.; Brockmann, H. (2015). Ableitung von Vorlandrauheiten für Strömungssimulationen auf der Basis von Full-Waveform-Airborne-Laserscannerdaten (FW-ALS)y. Messen und Überwachen im Wasserbau und am Gewässer : 38. Dresdner Wasserbaukolloquium, 5. und 6. März 2015. Hrsg.: D. Aigner, 161–171, Selbstverl. der Techn. Univ.
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Paul, N.; Bradley, P. E. (2015). Integrating Space, Time, Version, and Scale using Alexandrov Topologies. International journal of 3-D information modeling, 4 (4), 64–85. doi:10.4018/IJ3DIM.2015100104
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Schmitt, A.; Wendleder, A.; Hinz, S. (2015). The Kennaugh element framework for multi-scale, multi-polarized, multi-temporal and multi-frequency SAR image preparation. ISPRS journal of photogrammetry and remote sensing, 102, 122–139. doi:10.1016/j.isprsjprs.2015.01.007
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Schuffert, S.; Voegtle, T.; Tate, N.; Ramirez, A. (2015). Quality Assessment of Roof Planes Extracted from Height Data for Solar Energy Systems by the EAGLE Platform. Remote sensing, 7 (12), 17016–17034. doi:10.3390/rs71215866
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Sturm-Richter, K.; Golitsch, F.; Sturm, G.; Kipf, E.; Dittrich, A.; Beblawy, S.; Kerzenmacher, S.; Gescher, J. (2015). Unbalanced fermentation of glycerol in Escherichia coli via heterologous production of an electron transport chain and electrode interaction in microbial electrochemical cells. Bioresource technology, 186, 89–96. doi:10.1016/j.biortech.2015.02.116
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Ulrich, M.; Heider, A.; Steger, C. (2015). Hand-Eye Calibration of SCARA Robots. Proceedings of the OGRW2014. 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding. Ed.: D. Paulus, 117–122, University of Koblenz-Landau.
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Urban, S.; Leitloff, J.; Hinz, S. (2015). Improved wide-angle, fisheye and omnidirectional camera calibration. ISPRS journal of photogrammetry and remote sensing, 108, 72–79. doi:10.1016/j.isprsjprs.2015.06.005
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Weinmann, M.; Jutzi, B.; Hinz, S.; Mallet, C. (2015). Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers. ISPRS journal of photogrammetry and remote sensing, 105, 286–304. doi:10.1016/j.isprsjprs.2015.01.016
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Weinmann, M.; Jutzi, B. (2015). Geometric point quality assessment for the automated, markerless and robust registration of unordered TLS point clouds. ISPRS annals, II-3/W5, 89–96. doi:10.5194/isprsannals-II-3-W5-89-2015
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Weinmann, M.; Mallet, C.; Hinz, S.; Jutzi, B. (2015). Efficient interpretation of 3D point clouds by assessing feature relevance. Allgemeine Vermessungs-Nachrichten, 10, 308–315.
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Weinmann, M.; Schmidt, A.; Mallet, C.; Hinz, S.; Rottensteiner, F.; Jutzi, B. (2015). Contextual classification of point cloud data by exploiting individual 3D neighborhoods. ISPRS annals, II-3/W4, 271–278. doi:10.5194/isprsannals-II-3-W4-271-2015
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Weinmann, M.; Urban, S.; Hinz, S.; Jutzi, B.; Mallet, C. (2015). Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas. Computers & graphics, 49, 47–57. doi:10.1016/j.cag.2015.01.006
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Zhang, Y.; Sun, X.; Thiele, A.; Hinz, S. (2015). Stochastic geometrical model and Monte Carlo optimization methods for building reconstruction from InSAR data. ISPRS journal of photogrammetry and remote sensing, 108, 49–61. doi:10.1016/j.isprsjprs.2015.06.004
2014
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Blomley, R.; Weinmann, M.; Leitloff, J.; Jutzi, B. (2014). Shape distribution features for point cloud analysis - a geometric histogram approach on multiple scales. ISPRS annals, II-3, 9–16. doi:10.5194/isprsannals-II-3-9-2014
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Boldt, M.; Thiele, A.; Cadario, E.; Schulz, K.; Hinz, S. (2014). Change analysis at Stuttgart airport using TerraSAR-X imagery. Earth Resources and Environmental Remote Sensing/GIS Applications V, Amsterdam, The Netherlands, September 23-25, 2014. Ed.: M. Ulrich, 924502/1–8, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2065938
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2014). Unsupervised Segmentation of HR SAR Time Series Amplitude Imagery Aiming on Context Based Change Categorization. 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin, June 3-5, 2014, 616–619, VDE Verlag.
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Boldt, M.; Thiele, A.; Schulz, K.; Hinz, S. (2014). SAR Image Segmentation Using Morphological Attribute Profiles. The international archives of photogrammetry, remote sensing and spatial information sciences, XL-3, 39–44. doi:10.5194/isprsarchives-XL-3-39-2014
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Bradley, P. E.; Paul, N. (2014). Comparing G-maps with other topological data structures. Geoinformatica, 18 (3), 595–620. doi:10.1007/s10707-013-0191-1
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Braun, A. C.; Rojas, C.; Echeverri, C.; F. Rottensteiner; Bähr, H.-P.; Niemeyer, J.; Arias, M. A.; Kosov, S.; Hinz, S.; Weidner, U. (2014). Design of a Spectral-Spatial Pattern Recognition Framework for Risk Assessment Using Landsat Data – A Case Study in Chile. IEEE journal of selected topics in applied earth observations and remote sensing, 7 (3), 917–928. doi:10.1109/JSTARS.2013.2293421
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Dittrich, A.; Lucas, C. (2014). Is this Twitter Event a Disaster?. 17th AGILE Conference on Geographic Information Science. Connecting a Digital Europe through Location and Place, Proceedings of the AGILE’2014 International Conference on Geographic Information Science, Castellón, E., June, 3-6, 2014. Ed.: J. Huerta.
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Dittrich, A.; Lucas, C. (2014). Social Media in Crisis Management and Forensic Disaster Analysis. EGU General Assembly Conference Abstracts, EGU General Assembly. EGU General Assembly 2014, Vienna, A, 27 April - 2 May, 2014, Copernicus Publications.
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Djuricic, A.; Weinmann, M.; Jutzi, B. (2014). Potentials of small, lightweight and low cost Multi-Echo Laser Scanners for detecting Grape Berries. The international archives of photogrammetry, remote sensing and spatial information sciences, XL-5, 211–216. doi:10.5194/isprsarchives-XL-5-211-2014
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Dubois, C.; Thiele, A.; Hinz, S. (2014). Building Detection in TanDEM-X Data. 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin, June 3-5, 2014, 866–869, VDE Verlag.
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Dubois, C.; Thiele, A.; Hinz, S. (2014). Extraction of Building Parameters by SAR Radargrammetric Analysis of Layover Areas. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) : Quebec City, Quebec, Canada, 13 - 18 July 2014 ; [held in conjunction with the 35th Canadian Symposium on Remote Sensing (35th CSRS), 1305–1308, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2014.6946673
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Falge, R.; Thiele, A.; Gong, W.; Hinz, S.; Meyer, F. (2014). Analyzing the Spatial Distribution of PS Points. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) : Quebec City, Quebec, Canada, 13 - 18 July 2014 ; [held in conjunction with the 35th Canadian Symposium on Remote Sensing (35th CSRS), 2209–2212, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2014.6946907
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Hennes, M.; Urban, S.; Wursthorn, S. (2014). Zur Synchronisierung von Multi-Sensor-Systemen – Grundlagen und Realisierungen. Multi-Sensor-Systeme – Bewegte Zukunftsfelder : Beiträge zum 138. DVW-Seminar am 18. und 19. September 2014 in Hamburg, DVW.
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Hoegner, L.; Hanel, A.; Weinmann, M.; Jutzi, B.; Hinz, S.; Stilla, U. (2014). Towards people detection from fused time-of-flight and thermal infrared images. The international archives of photogrammetry, remote sensing and spatial information sciences, XL-3, 121–126. doi:10.5194/isprsarchives-XL-3-121-2014
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Hoegner, L.; Roth, L.; Weinmann, M.; Jutzi, B.; Hinz, S.; Stilla, U. (2014). Fusion von Time-of-Flight-Entfernungsdaten und thermalen IR-Bildern. Allgemeine Vermessungs-Nachrichten, 5, 192–197.
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Institut für Photogrammetrie und Fernerkundung. (2014). Institutsbericht 2013. Institut für Photogrammetrie und Fernerkundung, Karlsruher Institut für Technologie (KIT). Stand: August 2014. doi:10.5445/IR/1000044692
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Jutzi, B.; Weinmann, M.; Meidow, J. (2014). Weighted data fusion for UAV-borne 3D mapping with camera and line laser scanner. International journal of image and data fusion, 5 (3), 226–243. doi:10.1080/19479832.2014.889228
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Leitloff, J.; Rosenbaum, D.; Kurz, F.; Meynberg, O.; Reinartz, P. (2014). An Operational System for Estimating Road Traffic Information from Aerial Images. Remote sensing, 6 (11), 11315–11341. doi:10.3390/rs61111315
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Paul, N.; Bradley, P. E. (2014). Eine Erweiterung des Relationalen Modells zur Repräsentation räumlichen Wissens. Datenbank-Spektrum, 14 (3), 223–235. doi:10.1007/s13222-014-0163-0
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Staub, G.; Bähr, H.-P. (2014). Potential of remote sensing - A study based on natural disasters occurred during the last 5 years in Chile [Potencial de la percepción remota - Estudio basado en desastres naturales ocurridos durante los últimos 5 años en Chile]. Boletim de Ciencias Geodesicas, 20 (1), 204–221. doi:10.1590/S1982-21702014000100013
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Weinmann, M.; Jutzi, B.; Mallet, C. (2014). Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features. ISPRS annals, II-3, 181–188. doi:10.5194/isprsannals-II-3-181-2014
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Weinmann, M.; Jutzi, B.; Mallet, C. (2014). Describing Paris: Automated 3D Scene Analysis via Distinctive Low-Level Geometric Features. Proceedings of the IQmulus Workshop on Processing Large Geospatial Data, 1–8.
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Weinmann, M.; Leitloff, J.; Hoegner, L.; Jutzi, B.; Stilla, U.; Hinz, S. (2014). Thermal 3D mapping for object detection in dynamic scenes. ISPRS annals, II-1, 53–60. doi:10.5194/isprsannals-II-1-53-2014
2013
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Boldt, M.; Schulz, K.; Thiele, A.; Hinz, S. (2013). Using morphological differential attribute profiles for change categorization in high resolution SAR images. The international archives of photogrammetry, remote sensing and spatial information sciences, XL-1/W1, 29–34. doi:10.5194/isprsarchives-XL-1-W1-29-2013
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Boldt, M.; Thiele, A.; Schulz, K. (2013). Generalized interpretation scheme for arbitrary HR InSAR image pairs. Earth Resources and Environmental Remote Sensing/GIS Applications IV. Ed.: U. Michel, 889305/1–11, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2028711
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Daniell, J.-E.; Mühr, B.; Girard, T.; Dittrich, A.; Fohringer, J.; Lucas, C.; Kunz-Plapp, T. (2013). Super Typhoon Haiyan/Yolanda. CEDIM FDA Group Report, 13 Nov. 2013. Karlsruher Institut für Technologie (KIT).
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Daniell, J.-E.; Vervaeck, A.; Brink, S.; Wenzel, F.; Fohringer, J.; Eggert, S.; Dittrich, A.; Lucas, C.; Girard, T.; Khazai, B.; Mühr, B.; Power, C.; Trieselmann, W.; Nierop, P.; Jaramillo, J.; Docoy-Boucher, M.; Robles, C.; Skapski, J.; Schumann, L.-J. (2013). Philippines (Bohol) Earthquake. CEDIM FDA Group Report, 02. Nov. 2013. Karlsruher Institut für Technologie (KIT).
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Dittrich, A.; Lucas, C. (2013). A step towards real-time analysis of major disaster events based on tweets. 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM’13), Baden-Baden, 12.-15.05.2013. Ed.: T. Comes, 868–874.
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Djuricic, A.; Jutzi, B. (2013). Supporting Uavs in Low Visibility Conditions by Multiple-Pulse Laser Scanning Devices. The international archives of photogrammetry, remote sensing and spatial information sciences, 40 (1W1), 93–98. doi:10.5194/isprsarchives-XL-1-W1-93-2013
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Dubois, C.; Thiele, A.; Hinz, S. (2013). Towards change detection in urban area by SAR interferometry and radargrammetry. The international archives of photogrammetry, remote sensing and spatial information sciences, 40 (1W1), 99–104. doi:10.5194/isprsarchives-XL-1-W1-99-2013
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Dubois, C.; Thiele, A.; Hinz, S. (2013). Pixel-based approach for building heights determination by SAR radargrammetry. The international archives of photogrammetry, remote sensing and spatial information sciences, II-3/W3, 19–24. doi:10.5194/isprsannals-II-3-W3-19-2013
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Hoegner, L.; Weinmann, M.; Jutzi, B.; Hinz, S.; Stilla, U. (2013). Synchrone Koregistrierung von 3D Punktwolken und thermischen Infrarotbildern. Photogrammetrie - Laserscanning - Optische 3D-Messtechnik: Beiträge der Oldenburger 3D-Tage 2013. Hrsg.: T. Luhmann, 264–271, Wichmann.
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Institut für Photogrammetrie und Fernerkundung. (2013). Institutsbericht 2012. Institut für Photogrammetrie und Fernerkundung, Karlsruher Institut für Technologie (KIT). Stand: Juni 2013. doi:10.5445/IR/1000039490
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Jutzi, B.; Toth, C. (2013). 16th Brazilian Remote Sensing Symposium. Event Report. Foz do Iguacu, Brazil, April 13-18, 2013. ISPRS e-Bulletin, (3), online.
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Jutzi, B.; Toth, C. (2013). 16th Brazilian Remote Sensing Symposium, Foz do Iguacu, Brazil, April 13-18, 2013. Photogrammetrie, Fernerkundung, Geoinformation, 2013 (5), 538–538.
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Jutzi, B.; Weinmann, M.; Meidow, J. (2013). Improved UAV-borne 3D mapping by fusing optical and laserscanner data. The international archives of photogrammetry, remote sensing and spatial information sciences, 40 (1/W2), 223–228. doi:10.5194/isprsarchives-XL-1-W2-223-2013
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Khazai, B.; Bessel, T.; Möhrle, S.; Dittrich, A.; Schröter, K.; Mühr, B.; Elmer, F.; Kunz-Plapp, T.; Trieselmann, W.; Kunz, N. (2013). June Flood 2013 Flood in Central Europe - Focus Germany. CEDIM FDA Group Report, 20 June 2013. Karlsruher Institut für Technologie (KIT).
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Kosov, S.; Rottensteiner, F.; Heipke, C.; Leitloff, J.; Hinz, S. (2013). The Application of a Car Confidence Feature for the Classification of Cross-Roads Using Conditional Random Fields. The international archives of photogrammetry, remote sensing and spatial information sciences, II-3/W3, 43–48. doi:10.5194/isprsannals-II-3-W3-43-2013
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Kunz, M.; Mühr, B.; Kunz-Plapp, T.; Daniell, J. E.; Khazai, B.; Wenzel, F.; Vannieuwenhuyse, M.; Comes, T.; Elmer, F.; Schröter, K.; Fohringer, J.; Münzberg, T.; Lucas, C.; Zschau, J. (2013). Investigation of superstorm Sandy 2012 in a multi-disciplinary approach. Natural hazards and earth system sciences, 13 (10), 2579–2598. doi:10.5194/nhessd-1-625-2013
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Kunz, M.; Mühr, B.; Schröter, K.; Kunz-Plapp, T.; Daniell, J.; Khazai, B.; Wenzel, F.; Vannieuwenhuyse, M.; Gomes, T.; Münzberg, T.; Elmer, F.; Fohringer, J.; Lucas, C.; Trieselmann, W.; Zschau, J. (2013). Near Real-Time Forensic Disaster Analysis: experiences from hurricane Sandy. European Geosciences Union (EGU) General Assembly, Wien, Österreich, April 7-12, 2013.
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Mühr, B.; Köbele, D.; Bessel, T.; Fohringer, J.; Lucas, C.; Girard, T. (2013). Super Cyclonic Storm 02B “Phailin”. CEDIM FDA Group Report, 24 Oct. 2013. Karlsruher Institut für Technologie (KIT).
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Rottensteiner, F.; Stilla, U.; Hinz, S. (2013). City Models, Roads and Traffic (CMRT’13), Antalya, Turkey, November 12-13, 2013. International Society for Photogrammetry and Remote Sensing (ISPRS).
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Schaller, N.; Cermak, J.; Wild, M.; Knutti, R. (2013). The sensitivity of the modeled energy budget and hydrological cycle to CO2 and solar forcing. Earth System Dynamics, 4 (2), 253–266. doi:10.5194/esd-4-253-2013
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Schuffert, S. (2013). An automatic data driven approach to derive photovoltaic-suitable roof surfaces from ALS data. Joint Urban Remote Sensing Event (JURSE’13), Sao Paulo, Brazil, April 21-23, 2013, 267–270, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JURSE.2013.6550716
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Schuffert, S.; Vögtle, T. (2013). Automatische datengetriebene Extraktion photovoltaikgeeigneter Dachflächen aus 3D Oberflächendaten. 50. ’Arbeitsgruppe Automation in Kartographie, Photogrammetrie und GIS’ (AgA) Tagung, Frankfurt, 23.-24. September 2013.
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Sun, X.; Thiele, A.; Hinz, S.; Fu, K. (2013). Automatic detection and recognition of man-made objects in high resolution remote sensing images using hierarchical semantic graph model. The international archives of photogrammetry, remote sensing and spatial information sciences, 40 (1/W1), 333–338. doi:10.5194/isprsarchives-XL-1-W1-333-2013
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Thiele, A.; Wurth, M. M.; Even, M.; Hinz, S. (2013). Extraction of builidng shape from TanDEM-X data. The international archives of photogrammetry, remote sensing and spatial information sciences, XL-1/W1, 345–350. doi:10.5194/isprsarchives-XL-1-W1-345-2013
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Urban, S.; Leitloff, J.; Wursthorn, S.; Hinz, S. (2013). Self-Localization of a Multi-Fisheye Camera Based Augmented Reality System in Textureless 3d Building Models. The international archives of photogrammetry, remote sensing and spatial information sciences, II-3/W2, 43–48. doi:10.5194/isprsannals-II-3-W2-43-2013
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Weinmann, M.; Dittrich, A.; Hinz, S.; Jutzi, B. (2013). Automatic Feature-Based Point Cloud Registration for a Moving Sensor Platform. The international archives of photogrammetry, remote sensing and spatial information sciences, 40 (1/W1), 373–378. doi:10.5194/isprsarchives-XL-1-W1-373-2013
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Weinmann, M.; Jutzi, B.; Mallet, C. (2013). Feature relevance assessment for the semantic interpretation of 3D point cloud data. The international archives of photogrammetry, remote sensing and spatial information sciences, II-5/W2, 313–318. doi:10.5194/isprsannals-II-5-W2-313-2013
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Weinmann, M.; Jutzi, B. (2013). Fast and accurate point cloud registration by exploiting inverse cumulative histograms (ICHs). Joint Urban Remote Sensing Event (JURSE’13), Sao Paulo, Brazil, April 21-23, 2013, 218–221, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/JURSE.2013.6550704
2012
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Alixandrini, M.; Bähr, H.-P. (2012). Land cover change analysis from remote sensing images and statistical data: Case study Itaipú region, border Paraguay/Brazil. Accuracy 2012 - Proceedings of the 10th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Florianopolis, Brazil, July 10-13, 2012. Ed.: A.R. Aquino, 157–162, International Spatial Accuracy Research Association (ISARA).
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Alshawaf, F.; Fersch, B.; Hinz, S.; Kunstmann, H.; Mayer, M.; Thiele, A.; Westerhaus, M.; Meyer, F. (2012). Analysis of atmospheric signals in spaceborne InSAR - toward water vapor mapping based on multiple sources. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), München, July 22-27, 2012, 1960–1963, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2012.6351118
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Alshawaf, F.; Fuhrmann, T.; Heck, B.; Hinz, S.; Knoepfler, A.; Luo, X.; Mayer, M.; Schenk, A.; Thiele, A.; Westerhaus, M. (2012). Analysis of atmospheric effects in spaceborne InSAR - towards water vapour mapping based on multiple sensors. 9th European Conference on Synthetic Aperture Radar (EUSAR’12), Nürnberg, April 23-26, 2012, 219–222, VDE Verlag.
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Bradley, P. E. (2012). p-adic Methods in Stereo Vision. Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21-23, 2010. Ed.: W. A. Gaul, 173–182, Springer Verlag. doi:10.1007/978-3-642-24466-7_18
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Braun, A. C.; Weidner, U.; Hinz, S. (2012). Kernel-Composition for Change Detection in Medium Resolution Remote Sensing Data. XXII ISPRS Congress 2012 : Melbourne, Australia, 25 August-1 September 2012 / International Society for Photogrammetry and Remote Sensing (ISPRS), 281–286, Curran Associates.
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Braun, A. C.; Weidner, U.; Hinz, S. (2012). Classification in High-Dimensional Feature Spaces – Assessment Using SVM, IVM and RVM With Focus on Simulated EnMAP Data. IEEE journal of selected topics in applied earth observations and remote sensing, 5 (2), 436–443. doi:10.1109/JSTARS.2012.2190266
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Braun, A. C.; Weidner, U.; Hinz, S. (2012). Kernel composition for Change Detection in Medium Resolution Remote Sensing Data. International Archives of Photogrammetry and Remote Sensing, XXXIX (B7), 281–286. doi:10.5194/isprsarchives-XXXIX-B7-281-2012
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Braun, A. C.; Weidner, U.; Jutzi, B.; Hinz, S. (2012). Kernel Composition with the one-against-one Cascade for Integrating External Knowledge into SVM Classification. Photogrammetrie, Fernerkundung, Geoinformation, 2012 (4), 371–384. doi:10.1127/1432-8364/20/0124
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Breunig, M.; Borrmann, A.; Hinz, S.; Rank, E.; Schilcher, M. (2012). Towards 3D Geoinformatics and Computational Civil Engineering Support for Cooperative Tracks Planning. FIG Working Week, Rome, Italy, May 6-10, 2012, 5757/1–15, International Federation of Surveyors (FIG).
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Cermak, J. (2012). Low clouds and fog along the South-Western {\{}A{\}}frican coast — Satellite-based retrieval and spatial patterns. Atmospheric research, 116, 15–21. doi:10.1016/j.atmosres.2011.02.012
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Dubois, C. (2012). Developpement et experimentation de filtres adaptes au lissage d’ images de phase InSAR applique aux batiments. XYZ, 2012 (130), 13–20.
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Dubois, C.; Thiele, A.; Hinz, S. (2012). Adaptive filtering of interferometric phases at building location. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), München, July 22-27, 2012, 6625–6628, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2012.6352080
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Gernhardt, S.; Cong, X.; Eineder, M.; Hinz, S.; Bamler, R. (2012). Geometrical Fusion of Multitrack PS Point Clouds. IEEE Geoscience and Remote Sensing Letters, 9 (1), 38–42. doi:10.1109/LGRS.2011.2159190
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Gultepe, I.; Bendix, J.; Klemm, O.; Eugster, W.; Cermak, J. (2012). Fog and Dew Observations and Modeling: Introduction. Pure and applied geophysics, 169 (5-6), 765–766. doi:10.1007/s00024-012-0471-y
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Hedman, K.; Hinz, S. (2012). The application and potential of Bayesian network fusion for automatic cartographic mapping. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’12), München, July 22-27, 2012, 6848–6851, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS.2012.6352590
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Hinz, S.; Alshawaf, F.; Fuhrmann, T.; Heck, B.; Knöpfler, A.; Luo, X.; Mayer, M.; Schenk, A.; Thiele, A.; Westerhaus, M. (2012). Atmosphärenkorrekturen durch Integration von InSAR und GNSS Beobachtungen. Tagungsband GeoMonitoring 2012 - 8.-9. März 2012 in Braunschweig. Hrsg.: W. Niemeier, 87–96, Technische Universität Braunschweig.