Wei-Jia Cao

SSLANet: A Frequency–Spatial Visual System for Efficient Hyperspectral Image Classification

Hyperspectral image classification requires a compact representation that can jointly capture discriminative spectral cues, local spatial structures, and efficient inference behavior under limited annotations. Existing CNN-based methods provide effective local pattern extraction but are less capable of modeling long-ra...