Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image.
Guangzhe ZhaoNanying LiBing TuGuoyun ZhangWei HePublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- covariance matrix
- hyperspectral images
- feature extraction
- principal component analysis
- hyperspectral
- hyperspectral imagery
- hyperspectral imaging
- covariance matrices
- hyperspectral data
- remote sensing
- sample size
- multispectral
- dimension reduction
- principle component analysis
- multivariate gaussian
- eigenvalues and eigenvectors
- dimensionality reduction
- feature selection
- feature space
- geometrical interpretation
- feature set
- face recognition
- correlation matrix
- principal components
- linear discriminant analysis
- low dimensional
- gaussian mixture
- target detection
- feature vectors
- objective function
- infrared
- independent component analysis
- singular value decomposition
- random projections
- information content
- frequency domain
- worst case
- image analysis
- image processing