PolSAR Coherency Matrix Decomposition Based on Constrained Sparse Representation.
Yinghua WangHongwei LiuBo JiuPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- sparse representation
- matrix decomposition
- nonnegative matrix factorization
- negative matrix factorization
- low rank
- high dimensional data
- sparse coding
- latent structure
- image patches
- face recognition
- random projections
- singular value decomposition
- singular values
- image classification
- reconstruction error
- image representation
- low rank matrix
- subspace learning
- signal processing
- dimensionality reduction
- test images
- pattern recognition
- missing data
- multiscale
- nearest neighbor
- matrix factorization
- data representation
- convex optimization
- computer vision
- objective function
- data matrix
- sparse matrix
- image reconstruction
- linear combination
- image segmentation