Low-Rank Representation With Morphological-Attribute-Filter Based Regularization For Hyperspectral Anomaly Detection.
Yangrui LiuChia-Hsiang LinYu-Chun KuoPublished in: WHISPERS (2022)
Keyphrases
- anomaly detection
- hyperspectral
- low rank representation
- remote sensing
- hyperspectral images
- multispectral
- low rank
- infrared
- affinity matrix
- image data
- image processing
- information content
- unsupervised learning
- attribute values
- graph laplacian
- satellite images
- detect anomalies
- pairwise
- learning algorithm
- motion estimation
- semantic similarity
- change detection
- high order
- machine learning
- high resolution