Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
Rita AmmanouilAndré FerrariCédric RichardJean-Yves TourneretPublished in: SSP (2016)
Keyphrases
- reproducing kernel hilbert space
- hyperspectral data
- kernel function
- vector valued
- high dimensional feature space
- hyperspectral imagery
- hyperspectral
- hyperspectral images
- kernel methods
- random projections
- kernel pca
- feature space
- input space
- multispectral
- remote sensing
- support vector
- kernel matrix
- infrared
- support vector machine
- high dimensional
- dimensionality reduction
- original data
- support vectors
- euclidean space
- learning problems
- svm classifier
- scale space
- principal components
- image analysis
- spatial resolution
- dimension reduction