Hyperspectral dimensionality reduction via localized discriminant bases.
Shilpa VenkataramanLori M. BruceAnil M. CheriyadatAbhinav MathurPublished in: IGARSS (2005)
Keyphrases
- hyperspectral
- dimensionality reduction
- principal component analysis
- low dimensional
- feature extraction
- hyperspectral data
- remote sensing
- discriminant analysis
- random projections
- hyperspectral images
- multispectral
- infrared
- high dimensional data
- linear discriminant analysis
- target detection
- high dimensional
- hyperspectral imagery
- spatial resolution
- image data
- high dimensionality
- dimension reduction
- principal components
- pixel classification
- spectral imagery
- hyperspectral imaging
- hyperspectral remote sensing
- pattern recognition
- multi band
- dimensionality reduction methods
- hyperspectral image classification
- satellite images
- feature space
- data points
- information content
- singular value decomposition
- lower dimensional
- spectral bands
- feature selection
- face recognition
- input space
- high resolution
- remote sensing images
- spectral data
- image analysis
- sparse representation
- reflectance spectra
- image processing