Sparsity-driven SAR image reconstruction via low-rank sparse matrix decomposition.
Abdurrahim SoganliMüjdat ÇetinPublished in: SIU (2015)
Keyphrases
- matrix decomposition
- low rank
- regularized regression
- low rank matrix
- sparse representation
- missing data
- convex optimization
- singular value decomposition
- compressive sensing
- high dimensional data
- linear combination
- low rank approximation
- reconstruction error
- matrix factorization
- high dimensional
- high order
- kernel matrix
- singular values
- semi supervised
- high resolution
- image reconstruction
- low dimensional
- dimensionality reduction
- nonnegative matrix factorization
- small number
- data matrix
- feature extraction
- computer vision
- active learning