BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) aims to identify anomalous targets that deviate from the surrounding background in unlabeled hyperspectral images (HSIs). Most existing deep networks that exploit reconstruction errors to detect anomalies are prone to fit anomalous pixels, thus yielding small re... View More