Session : Unconventional applications for geospatial deep learning Live Thematic Session Deep learning for vessel detection and identification from spaceborne optical imagery (G. MATASCI ) Deep no learning approach for unsupervised change detection in hyperspectral images (S. SAHA ) JUngle-Net: using explainable machine learning to gain new insights into the appearance of wilderness in satellite imagery (T. STOMBERG ) End-to-end physics-informed representation learning from and for satellite ocean remote sensing data (R. FABLET )
