Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation.
Shicheng XieShun WangChuanming SongXiang-Hai WangPublished in: Remote. Sens. (2022)
Keyphrases
- low rank
- hyperspectral images
- sparse representation
- sparsity constraints
- spectral signatures
- low rank matrix recovery
- high dimensional data
- hyperspectral
- compressed sensing
- reconstruction error
- compressive sensing
- dictionary learning
- missing data
- linear combination
- sparse coding
- singular value decomposition
- convex optimization
- matrix factorization
- remote sensing
- multispectral
- matrix completion
- semi supervised
- frequency domain
- face recognition
- low rank matrix
- spatial information
- image classification
- multispectral images
- random projections
- image reconstruction
- dimensionality reduction
- robust face recognition
- high dimensional
- image representation
- object tracking
- image patches
- image data
- high resolution
- norm minimization
- pattern recognition
- feature extraction
- nearest neighbor
- signal processing
- low dimensional
- natural images
- neural network
- machine learning
- active learning
- data points
- negative matrix factorization
- small number
- object detection