Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction.
Jinliang AnYuzhen SongYuwei GuoXiaoxiao MaXiangrong ZhangPublished in: Remote. Sens. (2019)
Keyphrases
- feature representation
- discriminant analysis
- hyperspectral images
- dimensionality reduction
- feature extraction
- linear discriminant analysis
- low dimensional
- principal component analysis
- face recognition
- hyperspectral
- hyperspectral imagery
- high dimensional data
- pattern recognition
- high dimensionality
- dimensionality reduction methods
- multispectral
- dimension reduction
- sparse representation
- remote sensing
- input space
- random projections
- image classification
- manifold learning
- subspace learning
- feature space
- singular value decomposition
- feature vectors
- high dimensional
- lower dimensional
- image processing
- data points
- feature selection
- principal components
- feature set
- kernel pca
- texture features
- image data
- high resolution
- image analysis
- graph embedding