Hyperspectral Anomaly Detection Based on Low-Rank Representation Using Local Outlier Factor.
Shaoqi YuXiaorun LiLiaoying ZhaoJing WangPublished in: IEEE Geosci. Remote. Sens. Lett. (2021)
Keyphrases
- anomaly detection
- hyperspectral
- low rank representation
- low rank
- remote sensing
- multispectral
- hyperspectral images
- infrared
- intrusion detection
- image data
- information content
- detect anomalies
- unsupervised learning
- data sets
- matrix factorization
- semi supervised
- high order
- linear subspace
- convex optimization
- satellite images
- neural network
- kernel matrix
- machine learning
- image segmentation
- change detection
- data analysis
- maximum likelihood