Hong Qu

Spatial–Spectral Decoupling-Enhanced Lightweight Network for Few-Shot Hyperspectral Anomaly Detection in Remote Sensing Imagery

Hyperspectral anomaly detection (HAD) identifies targets by spectral differences. However, large deep learning models overfit under the small-sample conditions typical of remote sensing, where anomalies are sparse and annotations costly. We propose a lightweight network on the GT-HAD transformer backbone for hyperspect...