Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification.
Huiwu LuoLina YangYuan-Man LiHaoliang YuanYuan Yan TangPublished in: ICMLC (2013)
Keyphrases
- discriminant analysis
- feature extraction
- hyperspectral image classification
- linear discriminant analysis
- face recognition
- hyperspectral
- hyperspectral images
- gabor wavelets
- active learning
- principal component analysis
- dimensionality reduction methods
- kernel principal component analysis
- discriminant projection
- hyperspectral data
- graph embedding
- feature vectors
- feature space
- pattern recognition
- feature selection
- discriminant subspace
- manifold learning
- dimension reduction
- remote sensing
- high dimensionality
- fisher criterion
- kernel discriminant analysis
- kernel fisher discriminant analysis
- feature set
- support vector