Dual-View Spatial Consistency Regularization for Few-Shot Hyperspectral Image Classification
Hyperspectral image classification (HSIC) remains challenging when only a few labeled pixels are available for each class. Under such label-scarce conditions, deep models easily overfit the limited supervision and often fail to learn perturbation-invariant spatial representations from local patches. To address this iss...