Local Matrix Feature-Based Kernel Joint Sparse Representation for Hyperspectral Image Classification.
Xiang ChenNa ChenJiangtao PengWeiwei SunPublished in: Remote. Sens. (2022)
Keyphrases
- sparse representation
- hyperspectral image classification
- joint optimization
- positive definite
- regularized least squares
- dictionary learning
- active learning
- sparse coding
- hyperspectral images
- hyperspectral
- image classification
- face recognition
- kernel function
- high dimensional data
- image patches
- compressive sensing
- image representation
- signal processing
- kernel methods
- dimensionality reduction
- feature space
- singular value decomposition
- image features
- negative matrix factorization
- low rank
- random projections
- sparsity constraints
- support vector
- sparse coefficients
- sparse signal representation
- feature selection
- reproducing kernel hilbert space
- kernel matrix
- multispectral
- generative model
- decision trees