Uncertainty-Guided Multi-Center Prototype Alignment for Cross-Domain Few-Shot Hyperspectral Image Classification
A plug-and-play prototype-stability module that combines Uncertainty-Guided Clustered Alignment (UGCA) with Center Regularization that improves prototype-based hyperspectral image analysis without changing the inference pipeline and indicates that improving prototype quality is a critical and complementary dimension fo...