Low-Rank Representation Incorporating Local Spatial Constraint for Hyperspectral Anomaly Detection.
Hao LiRuyi FengLizhe WangYanfei ZhongLiangpei ZhangLifei WeiPublished in: IGARSS (2021)
Keyphrases
- anomaly detection
- hyperspectral
- spectral signatures
- hyperspectral images
- low rank representation
- remote sensing
- intrusion detection
- infrared
- multispectral
- hyperspectral imagery
- image data
- information content
- detect anomalies
- unsupervised learning
- satellite images
- low rank
- neural network
- principal component analysis
- change detection
- image analysis
- feature vectors
- computer vision