Robust Tensor Low-Rank Sparse Representation With Saliency Prior for Hyperspectral Anomaly Detection.
Qingjiang XiaoLiaoying ZhaoShuhan ChenXiaorun LiPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- anomaly detection
- low rank
- sparse representation
- low rank matrix recovery
- norm minimization
- low rank matrix
- high dimensional data
- convex optimization
- robust face recognition
- matrix completion
- high order
- dimensionality reduction
- salient object detection
- sparse coding
- dictionary learning
- linear combination
- missing data
- remote sensing
- matrix factorization
- singular value decomposition
- image representation
- image classification
- high dimensional
- semi supervised
- face recognition
- unsupervised learning
- data analysis
- subspace learning
- nearest neighbor
- image data
- image patches
- kernel matrix
- data sets
- low rank and sparse
- random projections
- signal processing
- image segmentation
- least squares
- collaborative filtering
- image features
- dimension reduction
- data points
- high resolution
- original data
- feature extraction