rhaensch.de

Ronny Hänsch

Post-doctoral researcher
Lead of the "Machine Learning" team
in the Department SAR Technology
at the German Aerospace Center (DLR)

Research Interests

  • Machine Learning (Deep Learning, Random Forests)
  • Remote sensing (i.e. PolSAR images)
  • Self-supervised Learning
  • Cross-modal Learning

Selected Publications

Thumbnail Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities
C. Persello, J.-D. Wegner, R. Hänsch, D. Tuia, P. Ghamisi, M. Koeva, G. Camps-Valls, GRSM 2022.
Thumbnail Colorful Trees: Visualizing Random Forests for Analysis and Interpretation
R. Hänsch, P. Wiesner, S. Wendler, O. Hellwich, WACV 2019.
Thumbnail Classification of PolSAR Images by Stacked Random Forests
R. Hänsch, O. Hellwich, ISPRS International Journal of Geo-Information.
Thumbnail Skipping the real world: Classification of PolSAR images without explicit feature extraction
R. Hänsch, O. Hellwich, ISPRS Journal of Photogrammetry and Remote Sensing, in press.
  • Latest News
  • 07.07.2024

    Gave a tutorial on "Introduction to Machine Learning" at IGARSS 2024.

    17.06.2024

    Co-chaired a successful EarthVision Workshop at CVPR 2024.

    10.05.2024

    Was elected to chair the German IEEE GRSS Chapter.

    23.04.2024

    Gave a tutorial on "Machine Learning for SAR Analysis - From fully- to self-supervised deep learning" at EuSAR 2024.

    17.04.2024

    Gave a keynote on "The Remote Sensing of Floods" at the M2GARSS 2024.

    19.03.2024

    Joined an interesting panel discussion at the "Machine Learning and Data Management for Earth Observation” workshop in Berlin, Germany.

    01.01.2024

    Started my new role as Editor in Chief of the IEEE GRS Letters.

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