Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection

摘要

Hyperspectral anomaly detection is very important in the remote sensing domain. The representation-based anomaly method is one of the most important hyperspectral anomaly detection methods, which uses reconstruction errors (REs) to detect anomalies. REs a