Anomaly Detection for Hyperspectral Imagery via Tensor Low-Rank Approximation With Multiple Subspace Learning.
Xu HeJing WuQiang LingZhaoxu LiZaiping LinShilin ZhouPublished in: IEEE Trans. Geosci. Remote. Sens. (2023)
Keyphrases
- pairwise
- anomaly detection
- subspace learning
- low rank approximation
- dimensionality reduction
- higher order
- manifold learning
- low dimensional
- high dimensional data
- unsupervised learning
- face recognition
- principal component analysis
- sparse representation
- singular value decomposition
- data representation
- sparse coding
- high dimensional
- learning algorithm
- data points
- low rank
- image classification
- data sets
- vector space
- image processing
- feature selection