Spatial-Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization.
Emanuele TortiElisa MarenziGiovanni DaneseAntonio J. PlazaFrancesco LeporatiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023)
Keyphrases
- hyperspectral images
- covariance matrix
- feature extraction
- spectral signatures
- principal component analysis
- hyperspectral
- hyperspectral imagery
- hyperspectral data
- covariance matrices
- spectral features
- remote sensing
- spectral bands
- sample size
- multispectral
- spatial information
- frequency domain
- feature selection
- face recognition
- multispectral images
- pattern recognition
- spectral analysis
- target detection
- correlation matrix
- wavelet transform
- image data
- reflectance spectra
- image processing
- hyperspectral remote sensing
- spectral resolution
- eigendecomposition
- principal components
- linear discriminant analysis
- low dimensional
- spatial resolution
- information content
- independent component analysis
- infrared
- spectral data
- feature set
- dimensionality reduction
- feature vectors
- feature space
- objective function
- neural network