Frequency-Aware Kernel-Centered Prior Attention Network for Hyperspectral Image Classification
Hyperspectral image (HSI) classification remains challenging because local discriminative cues around land-cover transitions, mixed pixels, and abrupt material boundaries are often under-modeled, while global attention can be distracted by spatially disconnected yet spectrally similar regions. To address these issues,...