Spectral compression of hyperspectral images by means of nonlinear principal component analysis decorrelation.
Giorgio A. LicciardiJocelyn ChanussotAlessandro PisciniPublished in: ICIP (2014)
Keyphrases
- hyperspectral images
- hyperspectral
- principal component analysis
- hyperspectral imagery
- hyperspectral data
- independent component analysis
- spectral bands
- multispectral
- spectral features
- hyperspectral image classification
- remote sensing
- kernel based nonlinear
- kernel pca
- multispectral images
- principal components
- covariance matrix
- target detection
- infrared
- spectral signatures
- spatial resolution
- random projections
- image compression
- data compression
- compression algorithm
- linear discriminant analysis
- video sequences
- feature selection
- spectral data
- face detection
- low dimensional
- dimensionality reduction
- high quality