Dimension reduction of hyperspectral images with sparse linear discriminant analysis.
Jiming LiYuntao QianPublished in: IGARSS (2011)
Keyphrases
- dimension reduction
- linear discriminant analysis
- hyperspectral images
- random projections
- discriminant analysis
- principal component analysis
- dimensionality reduction
- hyperspectral
- face recognition
- high dimensional
- hyperspectral imagery
- high dimensional data
- remote sensing
- feature extraction
- small sample size
- discriminative information
- principal components analysis
- sparse representation
- partial least squares
- support vector
- manifold learning
- null space
- support vector machine svm
- multispectral
- feature space
- sparse coding
- neural network
- subspace methods
- qr decomposition
- high dimensionality
- infrared
- singular value decomposition
- low dimensional
- least squares
- nearest neighbor
- semi supervised
- image data
- principle component analysis
- pattern recognition
- similarity measure