Enhancing hyperspectral image quality using nonlinear PCA.
Giorgio A. LicciardiJocelyn ChanussotGabriel VasileAlessandro PisciniPublished in: ICIP (2014)
Keyphrases
- hyperspectral
- image quality
- image data
- hyperspectral data
- principal component analysis
- hyperspectral images
- kernel pca
- remote sensing
- multispectral
- hyperspectral imagery
- hyperspectral remote sensing
- infrared
- hyperspectral imaging
- pixel classification
- principal components analysis
- visual quality
- bit rate
- spectral bands
- target detection
- compression ratio
- feature extraction
- human visual system
- principal components
- satellite images
- random projections
- spatial resolution
- hyperspectral image classification
- information content
- dimensionality reduction
- face recognition
- independent component analysis
- kernel based nonlinear
- high quality
- reflectance spectra
- covariance matrix
- face images
- principle component analysis
- feature space
- spectral signatures
- pattern recognition
- image processing
- spectral data
- relational databases
- high resolution
- subspace methods
- discriminant analysis