Attribute profile based feature space discriminant analysis for spectral-spatial classification of hyperspectral images.
Maryam ImaniHassan GhassemianPublished in: Comput. Electr. Eng. (2017)
Keyphrases
- hyperspectral images
- discriminant analysis
- feature space
- hyperspectral data
- subspace projection
- hyperspectral imagery
- linear discriminant analysis
- hyperspectral
- principal component analysis
- feature extraction
- class separability
- spectral bands
- remote sensing
- face recognition
- kernel principal component analysis
- dimension reduction
- dimensionality reduction
- canonical correlations
- generalized discriminant analysis
- dimensionality reduction methods
- feature vectors
- multispectral
- fisher criterion
- multispectral images
- support vector
- data points
- discriminant subspace
- computer vision
- high dimensional feature space
- partial least squares
- feature selection
- high dimensionality
- spatial information
- similarity measure
- high resolution
- image classification
- data mining
- image processing
- high dimensional
- support vector machine
- feature set
- input space
- low dimensional
- image representation
- mean shift
- cluster analysis
- target detection
- principal components