Morphological Principal Component Analysis for Hyperspectral Image Analysis.
Gianni FranchiJesús AnguloPublished in: ISPRS Int. J. Geo Inf. (2016)
Keyphrases
- hyperspectral
- image analysis
- principal component analysis
- remote sensing
- multispectral
- mathematical morphology
- image processing
- hyperspectral images
- principal components
- remote sensing images
- hyperspectral imagery
- hyperspectral data
- hyperspectral remote sensing
- spectral imagery
- remote sensing data
- pixel classification
- infrared
- independent component analysis
- dimensionality reduction
- pattern recognition
- covariance matrix
- hyperspectral imaging
- image data
- target detection
- spectral data
- change detection
- hyperspectral image classification
- subspace projection
- low dimensional
- multi band
- spatial resolution
- feature extraction
- discriminant analysis
- face recognition
- computer vision
- spectral bands
- dimension reduction
- multispectral images
- singular value decomposition
- satellite images
- image segmentation
- multiscale
- information content
- high dimensional data
- reflectance spectra
- linear discriminant analysis
- spectral resolution
- scale space
- random projections
- feature space
- spectral signatures
- relational databases