Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation
Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation copied to clipboard
Anomaly-Detection-in-Hyperspectral-Images-Based-on-Low-Rank-and-Sparse-Representation
ROC curve
LHData dataset:
- AUC(LRR)= 0.9990;
- AUC(RX) = 0.9910;
SDData dataset:
- AUC(LRR)= 0.9443;
- AUC(RX) = 0.9106;
Details
Reference:
Regularization for spectral matched filter and RX anomaly detector
Robust Subspace Segmentation by Low-Rank Representation
Anomaly Detection in Hyperspectral Images Based on Low-Rank and Sparse Representation