Ronny Hänsch
Scholar

Ronny Hänsch

Google Scholar ID: mUlpUlUAAAAJ
postdoctoral research fellow, German Aerospace Center, Oberpfaffenhofen
Maschine LearningRemote SensingComputer VisionImage Processing3D-Reconstruction
Citations & Impact
All-time
Citations
2,575
 
H-index
28
 
i10-index
49
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • - Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities (GRSM 2022)
  • - Colorful Trees: Visualizing Random Forests for Analysis and Interpretation (WACV 2019)
  • - Classification of PolSAR Images by Stacked Random Forests (ISPRS International Journal of Geo-Information)
  • - Skipping the real world: Classification of PolSAR images without explicit feature extraction (ISPRS Journal of Photogrammetry and Remote Sensing, in press)
Research Experience
  • - Lead of the "Machine Learning" team in the Department SAR Technology at the German Aerospace Center (DLR)
  • - Started as Editor in Chief of the IEEE GRS Letters on January 1, 2024
  • - Gave a tutorial on "Introduction to Machine Learning" at IGARSS 2024 in July 2024
  • - Co-chaired a successful EarthVision Workshop at CVPR 2024 in June 2024
  • - Elected to chair the German IEEE GRSS Chapter in May 2024
  • - Gave a tutorial on "Machine Learning for SAR Analysis - From fully- to self-supervised deep learning" at EuSAR 2024 in April 2024
  • - Gave a keynote on "The Remote Sensing of Floods" at M2GARSS 2024 in April 2024
  • - Joined an interesting panel discussion at the "Machine Learning and Data Management for Earth Observation” workshop in Berlin, Germany in March 2024
Background
  • - Machine Learning (Deep Learning, Random Forests)
  • - Remote sensing (i.e. PolSAR images)
  • - Self-supervised Learning
  • - Cross-modal Learning