An Efficient and Robust Framework for Hyperspectral Anomaly Detection
Hyperspectral images contain distinguishing spectral information and show great potential in the anomaly detection (AD) task which aims to extract discrepant targets from the background.However, most of the popular hyperspectral AD Canteens techniques are time consuming and suffer from poor detection performance due to noise disturbance.To address