Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis.
Tatyana V. BandosLorenzo BruzzoneGustavo Camps-VallsPublished in: IEEE Trans. Geosci. Remote. Sens. (2009)
Keyphrases
- hyperspectral images
- linear discriminant analysis
- feature extraction
- subspace projection
- discriminant analysis
- support vector machine svm
- discriminant features
- hyperspectral data
- hyperspectral
- dimension reduction
- kernel discriminant analysis
- dimensionality reduction
- support vector
- small sample size
- principal component analysis
- face recognition
- feature space
- fisher criterion
- class separability
- hyperspectral imagery
- discriminative information
- remote sensing
- subspace methods
- null space
- high dimensionality
- high dimensional data
- feature vectors
- image classification
- dimensionality reduction methods
- pattern recognition
- multi class
- least squares
- low dimensional
- covariance matrix
- computer vision
- sample size
- feature selection