Multiscale Spectral–Spatial Coordinated Awareness Fusion Network for Hyperspectral Image Classification (opens in new tab)

Accurate hyperspectral image (HSI) classification remains challenging, as discriminative performance critically depends on the effective coordination of high-dimensional spectral information and complex spatial structures. Recent deep learning (DL) methods, particularly attention mechanisms, have improved HSI classification. However, existing models still face spectral over-smoothing, spatial ambiguity, and poor spectral–spatial coordination. To address these limitations, a multiscale spectra...