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02. TH.2 - Unconventional applications for geospatial deep learning - Thematic Session





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 )