Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition.
Shangzhen SongHuixin ZhouLin GuYixin YangYiyi YangPublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- high order
- hyperspectral data
- remote sensing
- tensor decomposition
- missing data
- matrix factorization
- multispectral
- convex optimization
- infrared
- linear combination
- target detection
- singular value decomposition
- semi supervised
- information content
- kernel matrix
- high dimensional data
- satellite images
- spatial resolution
- unsupervised learning
- information extraction
- image data
- higher order
- image analysis
- mutual information
- collaborative filtering
- change detection
- maximum likelihood
- neural network
- pairwise