Webinar by ISPRS WG III/3 (Active Microwave Remote Sensing)
Topic: What SAR can learn from optical data
Speaker: Ronny Hänsch, DLR Germany
Date/Time: March 12, 2025, 12:00 - 13:00 (GMT+0)
Moderator: Prof Junichi Susaki
Registration Link: Webinar Registration - Zoom (After registration, You will get an email about joining the webinar).
Abstract:
Synthetic Aperture Radar (SAR) data presents unparalleled advantages in reliability and the distinctiveness of its measurements, making it invaluable for various remote sensing applications. In contrast, optical data often provides richer information and is generally more straightforward to analyze, yet its utility can be hindered by factors such as cloud cover or insufficient lighting. This presentation explores several innovative variations on a common theme: harnessing deep learning techniques that utilize SAR data for inference while incorporating aligned optical data during training to develop models that are both more robust and highly accurate.
Speaker's Bio:
Ronny Hänsch received the Diploma in computer science and the Ph.D. degree from the TU Berlin, Berlin, Germany, in 2007 and 2014, respectively. He is a scientist at the Microwave and Radar Institute of the German Aerospace Center (DLR) where he leads the Machine Learning Team in the Signal Processing Group of the SAR Technology Department. He served as chair of the GRSS Image Analysis and Data Fusion (IADF) technical committee and editor of the GRSS eNewsletter. Currently, he is co-chair of the ISPRS working group on Image Orientation and Sensor Fusion, editor in chief of the Geoscience and Remote Sensing Letters.
More details: https://sc.isprs.org/resources/webinars/