no code implementations • 8 Dec 2023 • Ribana Roscher, Marc Rußwurm, Caroline Gevaert, Michael Kampffmeyer, Jefersson A. dos Santos, Maria Vakalopoulou, Ronny Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, Devis Tuia
These examples provide concrete steps to act on geospatial data with data-centric machine learning approaches.
no code implementations • 15 Nov 2023 • Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew L. Molthan, Manil Maskey
Specifically, Sentinel-1 C-Band Synthetic Aperture Radar (SAR) imagery has proven to be useful in detecting water bodies due to low backscatter of water features in both co-polarized and cross-polarized SAR imagery.
no code implementations • 26 Sep 2022 • Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch
In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community.
no code implementations • 7 Feb 2022 • Pengchao Wei, Ronny Hänsch
Random Ferns -- as a less known example of Ensemble Learning -- have been successfully applied in many Computer Vision applications ranging from keypoint matching to object detection.
2 code implementations • 25 May 2021 • Michael Schmitt, Seyed Ali Ahmadi, Ronny Hänsch
Annotated datasets have become one of the most crucial preconditions for the development and evaluation of machine learning-based methods designed for the automated interpretation of remote sensing data.