Feature extraction based on kernel sparse representation for hyperspectral image classification.
Haoliang YuanHuiwu LuoLina YangYang LuYulong WangYuan Yan TangPublished in: SMC (2014)
Keyphrases
- sparse representation
- hyperspectral image classification
- feature extraction
- image classification
- face recognition
- regularized least squares
- dimensionality reduction
- dictionary learning
- feature space
- hyperspectral
- hyperspectral images
- active learning
- random projections
- sparse coding
- hyperspectral data
- kernel pca
- joint optimization
- high dimensional data
- compressive sensing
- pattern recognition
- principle component analysis
- input space
- feature selection
- image processing
- feature vectors
- kernel methods
- dimension reduction
- image patches
- image representation
- signal processing
- remote sensing
- kernel function
- support vector
- linear discriminant analysis
- image segmentation
- kernel matrix
- infrared
- feature set
- multispectral
- low dimensional
- high dimensional feature space
- principal component analysis
- image analysis
- neural network