Hyperspectral Anomaly Detection Based on Low-Rank Representation With Data-Driven Projection and Dictionary Construction.
Xiaoxiao MaXiangrong ZhangXu TangHuiyu ZhouLicheng JiaoPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- anomaly detection
- hyperspectral
- low rank representation
- hyperspectral images
- remote sensing
- intrusion detection
- infrared
- multispectral
- image data
- low rank
- information content
- detect anomalies
- satellite images
- sparse representation
- decision trees
- data sets
- unsupervised learning
- probabilistic model
- computer vision
- neural network