Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint.
Yongqiang ZhaoJingxiang YangPublished in: IEEE Trans. Geosci. Remote. Sens. (2015)
Keyphrases
- image denoising
- low rank
- sparse representation
- high dimensional data
- denoising
- remote sensing
- convex optimization
- natural images
- total variation
- dictionary learning
- sparse coding
- image processing
- matrix factorization
- missing data
- linear combination
- low rank matrix
- singular value decomposition
- matrix completion
- compressive sensing
- image patches
- semi supervised
- image classification
- high dimensional
- signal processing
- image data
- dimensionality reduction
- kernel matrix
- face recognition
- nearest neighbor
- wavelet coefficients
- wavelet domain
- image representation
- norm minimization
- dimension reduction
- high order
- object recognition
- low dimensional
- negative matrix factorization
- random projections
- original data
- feature extraction
- data sets
- knn
- least squares
- data analysis
- high quality
- high resolution
- singular values
- frequency domain
- low rank and sparse