A Fast Low Rank Approximation and Sparsity Representation Approach to Hyperspectral Anomaly Detection.
Jie ChenHongju CaoShuhan ChenChein-I ChangPublished in: IGARSS (2020)
Keyphrases
- anomaly detection
- hyperspectral
- remote sensing
- multispectral
- low rank approximation
- infrared
- spatial resolution
- image data
- satellite images
- image processing
- unsupervised learning
- image representation
- information content
- sparse representation
- dimensionality reduction
- high dimensional
- machine learning
- data sets
- image classification
- singular value decomposition
- active learning
- pattern recognition
- similarity measure