Deep Learning for SAR Image Analysis

Webinar Speaker:

Michael Schmitt

Affiliation:

University of the Bundeswehr

  • 09 October 2025
  • 10:00 A.M. CEST (UTC+2)
  • Sponsored by GRSS
  • IADF - TC Webinar

About the Webinar

In this talk, the combination of SAR-specific domain expertise and modern deep neural network machine learning architectures will be discussed. For that purpose, the reconstruction of high-resolution urban height models from single SAR intensity images will be used as an example.

About the Speaker

Michael Schmitt received his Dipl.-Ing. (Univ.) degree in geodesy and geoinformation, his Dr.-Ing. degree in remote sensing, and his habilitation in data fusion from the Technical University of Munich (TUM), Germany, in 2009, 2014, and 2018, respectively. Since 2021, he has been a Full Professor for Earth Observation at the Department of Aerospace Engineering of the University of the Bundeswehr Munich (UniBw M) in Neubiberg, Germany. He is a also a member of the Research Center SPACE and the Institute of Space Technology & Space Applications of UniBw M. His research focuses on technical aspects of Earth observation, in particular image analysis and machine learning applied to the extraction of information from multi-modal remote sensing observations. He is a co-chair of the Working Group “Active Microwave Sensing” of the International Society for Photogrammetry and Remote Sensing.

Recorded Webinar

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