Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition.
Ying QuWei WangRui GuoBulent AyhanChiman KwanSteven VanceHairong QiPublished in: IEEE Trans. Geosci. Remote. Sens. (2018)
Keyphrases
- anomaly detection
- low rank
- hyperspectral
- hyperspectral data
- hyperspectral images
- tensor decomposition
- hyperspectral imagery
- remote sensing
- convex optimization
- infrared
- multispectral
- missing data
- linear combination
- matrix factorization
- target detection
- hyperspectral remote sensing
- semi supervised
- singular value decomposition
- image data
- spatial resolution
- kernel matrix
- high dimensional data
- high order
- spectral resolution
- information content
- satellite images
- change detection
- unsupervised learning
- learning algorithm
- data sets
- multispectral images
- expectation maximization
- mutual information
- image analysis
- feature vectors
- similarity measure