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Prof. Dr.-Ing. Stefan Hinz

Institutsleiter
Raum: 027 (Geb. 20.40)
Tel.: +49 721 608 42314
Fax: +49 721 608 48450
stefan hinzYly1∂kit edu

Curriculum Vitae

Biographie

Herausgeberschaften

Veröffentlichungen

 

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)