Braun, Andreas Christian: Veröffentlichungen

2013

2012

2011

2010

 



  (fett/bold: Peer-reviewed Papers)
   

2013

 

 [12]

Braun, A.C.; Weidner, U.; Echeverria, C.; Aguayo, M.; Rojas, C.; Niemeyer, J.; Kosov, J.; Rottensteiner, F.; Bähr, H.P.; Hinz, S. (2013): Design of a Spectral-Spatial Pattern Recognition Framework for Land use Mapping using Landsat Data - A case study in Chile. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, in print.

 

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2012
 

[11]

Braun, A.C.; Weidner, U.; Hinz, S. (2012): Kernel composition for Change Detection in Medium Resolution Remote Sensing Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXIX-B7, XXII ISPRS Congress, 25.08. - 01.09.2012, Melbourne, Australia, 2012, 281-286

[10]

Sturm-Hentschel, U.; Braun, A.C.; Hinz, S.; Vogt, J. (2012): Detecting and Charaterizing Settlement Changes in Developing Countries using VHSR data – case of the Coastal Area of Benin. Springer Book on 3rd EOGC – Earth Observation on Global Changes, (in print).

[9]

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, pp. 371-384

[8]

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, Vol. 5, No. 2, pp. 436-443

 

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2011

[7]

Braun, A.C.; Weidner, U.; Hinz, S. (2011): Support Vector Machines, Import Vector Machines and Relevance Vector Machines for hyperspectral classification – a Comparison. In Proceedings: IEEE WHISPERS – Workshop on Hyperspectral Image and Signal Processing – Evolution in Remote Sensing , 2011.

[6]

Braun, A.C.; Weidner, U.; Jutzi, B.; Hinz, S. (2011): Integrating model knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition. In Proceedings: ISPRS Hannover Workshop 2011.

[5]

Sturm, U.; Braun, A.C.; Hinz, S.; Vogt, J. (2011): Characterizing Settlement Changes and its Implications in the Coastal Area of Benin using high resolution data. In Proceedings: 3rd EOGC – Earth Observation on Global Changes, on CD-ROM.

[4]

Braun, A.C.; Weidner, U.; Hinz, S. (2011): Classifying Roof Materials using Data Fusion through Kernel Composition – Comparing v-SVM and One-class SVM. In Proceedings: JURSE – Joint Urban Remote Sensing Event, on CD-ROM. 2010.


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2010  

[3]

Sturm, U.; Braun, A.C.; Hinz, S.; Vogt, J. (2010): Settlement process studies in developing countries using diverse remote sensing data types. In Proceedings: ISPRS Workshop on Remote Sensing Methods for Change Detection and Process Modelling, on CD-Rom.

[2]

Braun, A.C. (2010): Evaluation of One-class SVM for pixel-based and segment-based Classification in Remote Sensing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVIII (Part 3B), on CD-ROM.

[1]

Braun, A.C.; Weidner, U.; Hinz, S. (2010): Support Vector Machines for Vegetation Classification – A Revision. Photogrammetrie, Fernerkundung, Geoinformation, 2010/4, pp. 273-281.

 

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