Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection.
Bo WuLiangpei ZhangPingxiang LiJinmu ZhangPublished in: ISNN (1) (2006)
Keyphrases
- subspace projection
- hyperspectral imagery
- hyperspectral
- kernel based nonlinear
- spectral bands
- hyperspectral images
- pixel classification
- feature space
- component analysis
- multispectral
- remote sensing
- spectral signatures
- hyperspectral data
- kernel pca
- principal component analysis
- target detection
- high dimensional feature space
- discriminant analysis
- infrared
- image data
- subspace clusters
- spatial resolution
- multi band
- change detection
- kernel function
- information content
- kernel methods
- factor analysis
- satellite images
- machine learning
- face identification
- feature selection
- remote sensing images
- linear discriminant analysis
- feature extraction
- pattern recognition
- high dimensional