Institut für Photogrammetrie und Fernerkundung (IPF)

Prof. Dr.-Ing. Stefan Hinz

Biographie

Persönliche Angaben

Name: Stefan Janos Hinz
Geburtsort: Bamberg
Geburtsdatum: 21. Oktober 1972
   

Studium

1993 - 1998

Vermessungswesen, TU München Dipl.-Ing. (univ.) Vermessungswesen

   

Beruflicher Werdegang

1998 - 2003 wissenschaftlicher Angestellter am Lehrstuhl für Photogrammetrie und Fernerkundung der Technischen Universität München (TUM)
1999 (März - Juni) Gastwissenschaftler am Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, USA (gefördert durch DAAD-Vollstipendium)
2003 (Dezember) Promotion zum Doktor-Ingenieur
(Abschluss mit Auszeichnung: "summa cum laude")
2003 - 2008 wissenschaftlicher Assistent und Vertreter des Lehrstuhlinhabers am Lehrstuhl für Methodik der Fernerkundung der TUM
2004 - heute Leiter der Helmholtz-Hochschulnachwuchsgruppe im TUM-DLR Kompetenzzentrum "Automatisches Bildverstehen in hochaufgelösten Fernerkundungsdaten"
2004 (Mai) Gastaufenthalt an der Universität Olsztyn, Polen (gefördert durch ERASMUS Dozentenmobilitätsprogramm)
2007 - heute PI der Research Training Groups "Dynamic Earth" und "Safe Earth" der TUM International School of Science and Engineering (IGSSE)
2008 (Dezember) Habilitation an der TU München für den Fachbereich Photogrammetrie, Fernerkundung und Bildanalyse
2008 (Dezember) W3-Professur "Fernerkundung und Bildverarbeitung" an der Universität Karlsruhe (TH).

Herausgeberschaften

Gähler, M., Hinz, S.: DeSecure, 2010 (Eds.): Satelllitengestützte Kriseninformation für Deutschland. Photogrammetrie – Fernerkundung – Geoinformation 10(6).

Stilla, U., Heipke, C., Rottensteiner, F., Hinz, S., 2007 (Eds): PIA07 (Photogrammetric Image Analysis 2007). International Archives of Photogrammetry, Remote Sensing, and Spatial Information Sciences, Vol. 36-3W/49A-B.

Hinz, S., Bamler, R., Stilla, U., 2006 (Eds): ISPRS Journal Theme Issue: "Airborne and Spaceborne Traffic Monitoring". International Journal of Photogrammetry and Remote Sensing, 61(3/4).

Stilla, U., Rottensteiner, F., Hinz, S., 2005 (Eds): CMRT05 (City Modeling Road Extraction and Traffic Monitoring 2005). International Archives of Photogrammetry, Remote Sensing, and Spatial Information Sciences, Vol. 36-3W/24.

Publikationen


2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005

Research

Prof. Hinz’ research activities in remote sensing and computer vision go back to 1998. From 1998 until 2003 his work focused on the development of theory and methods for automatic extraction of linear infrastructural objects – mainly road networks in urban and rural environments – from single and multi-view aerial or space-borne optical images. As team leader at the Remote Sensing Technology department of TU Muenchen (2004 onwards), Prof. Hinz’ research interests concentrated on automated image understanding using remote sensing images. Special focus was on model-based methods for detection and characterization of dynamic processes with particular emphasis on traffic flow in urban environments. In this context, his group developed image analysis models for different sensors such as optical, infrared and Synthetic Apeture Radar (SAR) data of different scales. Since 2006, research activities extended to methods for automatic analysis of high resolution optical and interferometric SAR images – in particular TerraSAR-X – with focus on Persistent Scatterer SAR Interferometry and high resolution SAR simulation of urban environments.

Activities

Prof. Hinz was head of a Helmholtz-Young-Investigator-Group and served as scientific secretary and co-chair of ISPRS commission III working groups "Models and Algorithms for Road Extraction and Traffic Monitoring" and "Image Sequence Analysis". He is currently principle investigator and project leader of numerous scientific projects (DFG, DLR, BMWi, industry, DAAD) dealing with model-based understanding of remote sensing data.

 

Moreover Prof. Hinz is the speaker of the Graduateschool for Climate and Environment (GRACE). It is the goal of GRACE to provide to its students not only highly specialized and interdisciplinary knowledge but also important key skill qualification. (homepage)