Multi-Dimensional Low-Rank with Weighted Schatten p-Norm Minimization for Hyperspectral Anomaly Detection.
Xiai ChenZhen WangKaidong WangHuidi JiaZhi HanYandong TangPublished in: Remote. Sens. (2024)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- remote sensing
- convex optimization
- infrared
- matrix factorization
- multispectral
- missing data
- singular value decomposition
- linear combination
- image data
- semi supervised
- high dimensional data
- unsupervised learning
- high order
- kernel matrix
- information content
- norm minimization
- satellite images
- nonnegative matrix factorization
- change detection
- image sequences
- decision trees
- active learning
- high resolution
- recommender systems
- image analysis
- feature vectors
- pairwise
- image segmentation