An ICA-based multilinear algebra tools for dimensionality reduction in hyperspectral imagery.
Nadine RenardSalah BourennanePublished in: ICASSP (2008)
Keyphrases
- hyperspectral imagery
- dimensionality reduction
- principal component analysis
- independent component analysis
- feature extraction
- independent components analysis
- hyperspectral images
- neighborhood preserving
- hyperspectral data
- hyperspectral
- target detection
- multispectral
- high dimensionality
- high dimensional data
- infrared
- remote sensing
- random projections
- low dimensional
- face recognition
- linear discriminant analysis
- feature space
- support vector
- high dimensional
- high dimensional feature space
- pattern recognition
- spatial resolution
- kernel pca
- independent components
- principal components
- feature selection
- change detection
- signal processing
- feature vectors
- input space
- denoising
- detection rate
- lower dimensional
- data points
- image registration
- computer vision
- face detection
- super resolution