UGSA-Net: Uncertainty-Gated Attention and Self-Supervised Alignment for Calibration-Aware Hyperspectral Image Classification
Uniform spatial weighting in patch-based hyperspectral classifiers indiscriminately aggregates spectral information, even when individual pixels are already class-diagnostic, degrading accuracy and interpretability. We propose UGSA-Net, an ambiguity-guided spatial–spectral transformer that infers a per-pixel ambiguity...