Hyperspectral Image Classification via Kernel Sparse Representation.
Yi ChenNasser M. NasrabadiTrac D. TranPublished in: IEEE Trans. Geosci. Remote. Sens. (2013)
Keyphrases
- sparse representation
- hyperspectral image classification
- regularized least squares
- active learning
- dictionary learning
- hyperspectral
- hyperspectral images
- sparse coding
- random projections
- face recognition
- image classification
- hyperspectral data
- kernel function
- compressive sensing
- compressed sensing
- signal processing
- image representation
- image patches
- kernel methods
- joint optimization
- object tracking
- dimensionality reduction
- feature space
- support vector
- infrared
- high dimensional data
- input space
- multiscale
- hyperspectral imagery
- remote sensing
- kernel matrix
- information content
- multispectral
- neural network
- principal component analysis
- image analysis
- high dimensional
- high quality
- decision trees