Dimensionality Reduction via Regression in Hyperspectral Imagery.
Valero LaparraJesus MaloGustau Camps-VallsPublished in: IEEE J. Sel. Top. Signal Process. (2015)
Keyphrases
- hyperspectral imagery
- dimensionality reduction
- hyperspectral images
- hyperspectral
- high dimensional feature space
- target detection
- spatial resolution
- multispectral
- hyperspectral data
- high dimensional
- principal component analysis
- high dimensionality
- remote sensing
- pattern recognition
- feature extraction
- low dimensional
- infrared
- lower dimensional
- principal components
- high dimensional data
- random projections
- regression algorithm
- support vector regression
- data points
- dimensionality reduction methods
- feature space
- linear discriminant analysis
- input space
- support vector
- feature selection
- change detection
- dimension reduction
- kernel pca
- kernel function
- multi band