Hyperspectral Anomaly Detection Via Nonconvex Low-Rank Representation.
Longfei RenMinghua WangXu SunLianru GaoMin HuangPublished in: WHISPERS (2023)
Keyphrases
- anomaly detection
- hyperspectral
- low rank representation
- low rank
- convex optimization
- remote sensing
- multispectral
- hyperspectral images
- infrared
- intrusion detection
- image data
- information content
- satellite images
- matrix factorization
- unsupervised learning
- detect anomalies
- image analysis
- missing data
- singular value decomposition
- semi supervised
- linear subspace
- co occurrence
- neural network
- high dimensional data