Self-Adaptive Low-Rank and Sparse Decomposition for Hyperspectral Anomaly Detection.
Qunming WangJiang ZengHao WuJiawen WangKaipeng SunPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2022)
Keyphrases
- anomaly detection
- hyperspectral
- low rank and sparse
- hyperspectral images
- remote sensing
- multispectral
- intrusion detection
- infrared
- signal recovery
- intrusion detection system
- information content
- image data
- convex optimization
- detect anomalies
- satellite images
- unsupervised learning
- change detection
- image processing
- computer vision
- low rank
- neural network
- feature selection