Geometrical Approximated Principal Component Analysis for Hyperspectral Image Analysis.
Alina L. MachidonFabio Del FrateMatteo PicchianiOctavian Mihai MachidonPetre L. OgrutanPublished in: Remote. Sens. (2020)
Keyphrases
- hyperspectral
- image analysis
- principal component analysis
- remote sensing
- multispectral
- hyperspectral images
- principal components
- independent component analysis
- satellite images
- infrared
- hyperspectral data
- hyperspectral imagery
- remote sensing images
- target detection
- hyperspectral remote sensing
- spatial resolution
- hyperspectral imaging
- dimension reduction
- spectral bands
- spectral imagery
- covariance matrix
- image data
- pixel classification
- pattern recognition
- hyperspectral image classification
- change detection
- face images
- low dimensional
- dimensionality reduction
- discriminant analysis
- linear discriminant analysis
- feature extraction
- feature space
- image processing
- subspace projection
- image segmentation
- face recognition
- spectral data
- computer vision
- singular value decomposition
- remote sensing data
- high resolution
- multi band
- lower dimensional
- spectral signatures
- reflectance spectra
- random projections
- high quality
- image registration