Multi-Scale Anomaly Detection in Hyperspectral Images Based on Sparse and Low Rank Representations

Anomaly detection is a hot topic in hyperspectral data processing since no prior information about the target is required. Meanwhile, multi-scale information can improve the detection performance. This paper proposes a multi-scale anomaly detection algorithm in hyperspectral images based on the sparse and low rank representation. Some pixels are randomly selected to construct the dictionary, and t...