Boosting Hyperspectral Image Classification via Class-Difficulty-Aware and Spectral–Spatial Feature Representation
Hyperspectral images (HSIs) provide rich spectral information, offering unique advantages for fine-grained land-cover classification. However, HSI classification remains challenged by insufficient spectral–spatial feature exploitation and significant variations in class difficulty under limited labeled samples. To addr...