Pansharpening With Spatial Hessian Non-Convex Sparse and Spectral Gradient Low Rank Priors.
Pengfei LiuPublished in: IEEE Trans. Image Process. (2023)
Keyphrases
- low rank
- nuclear norm
- low rank matrix
- convex optimization
- rank minimization
- low rank matrices
- matrix completion
- low rank subspace
- linear combination
- missing data
- matrix factorization
- minimization problems
- robust principal component analysis
- singular value decomposition
- high order
- low rank representation
- high dimensional data
- norm minimization
- kernel matrix
- semi supervised
- kernel matrices
- matrix decomposition
- convex relaxation
- singular values
- regularized regression
- data matrix
- sparse matrix
- low rank approximation
- trace norm
- affinity matrix
- tensor decomposition
- data sets
- high dimensional
- convex optimization problems
- compressive sensing
- higher order
- face recognition
- low rank and sparse
- image processing
- feature selection
- learning algorithm