Hyperspectral Sparse Unmixing With Spectral-Spatial Low-Rank Constraint.
Fan LiShaoquan ZhangBingkun LiangChengzhi DengChenguang XuShengqian WangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- hyperspectral
- low rank
- low rank subspace
- spectral signatures
- hyperspectral images
- hyperspectral data
- low rank matrix
- rank minimization
- hyperspectral imagery
- low rank matrices
- remote sensing
- convex optimization
- linear combination
- multispectral
- infrared
- matrix factorization
- missing data
- matrix completion
- image data
- robust principal component analysis
- singular value decomposition
- hyperspectral remote sensing
- kernel matrix
- spectral bands
- high dimensional data
- target detection
- satellite images
- information content
- semi supervised
- spatial resolution
- high order
- regularized regression
- reflectance spectra
- high dimensional
- learning algorithm
- spectral resolution
- collaborative filtering
- spectral data
- negative matrix factorization
- image processing
- total variation
- image reconstruction
- mutual information
- machine learning