Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation 事件

Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation arXiv:2606.06684v1 Announce Type: new Abstract: Hyperspectral band selection methods based on differentiable selectors can be sensitive to initialization and to extracting a final discrete subset, while prescribed band counts limit flexibility. We propose SGBR-HC (Spectral-Group Band Ranking with Hard-Concrete initialization), a two-stage method that uses a supervised spectral ranking to initialize train