Manifold Regularized Low-Rank Representation for Hyperspectral Anomaly Detection.
Tongkai ChengBin WangPublished in: IGARSS (2018)
Keyphrases
- anomaly detection
- hyperspectral
- low rank representation
- linear subspace
- low rank
- remote sensing
- multispectral
- infrared
- image data
- low dimensional
- information content
- least squares
- satellite images
- lower dimensional
- manifold learning
- high dimensional
- subspace learning
- feature selection
- matrix factorization
- image set
- singular value decomposition
- subspace clustering
- image analysis
- pairwise
- decision trees
- neural network