Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image.
Jingxiang YangYongqiang ZhaoJonathan Cheung-Wai ChanSeong G. KongPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- low rank
- hyperspectral images
- low rank subspace
- denoising
- sparsity constraints
- hyperspectral
- convex optimization
- low rank matrix
- hyperspectral data
- total variation
- rank minimization
- matrix factorization
- image denoising
- missing data
- hyperspectral imagery
- linear combination
- low rank matrices
- singular value decomposition
- robust principal component analysis
- matrix completion
- high dimensional data
- remote sensing
- natural images
- high order
- multispectral
- regularized regression
- image processing
- semi supervised
- wavelet domain
- frequency domain
- target detection
- image data
- singular values
- infrared
- multispectral images
- nonnegative matrix factorization
- collaborative filtering
- high dimensional
- pattern recognition
- image segmentation
- information content
- learning algorithm
- image reconstruction