Feature extraction from remote sensing data using Kernel Orthonormalized PLS.
Jerónimo Arenas-GarcíaGustavo Camps-VallsPublished in: IGARSS (2007)
Keyphrases
- remote sensing data
- feature extraction
- partial least squares regression
- remote sensing
- partial least squares
- feature space
- multispectral
- dimension reduction
- kernel principal component analysis
- remotely sensed data
- discriminant analysis
- land cover
- kernel function
- principal component analysis
- hyperspectral
- remote sensing images
- change detection
- kernel methods
- support vector
- kernel pca
- land cover classification
- image classification
- wavelet transform
- feature vectors
- feature selection
- hyperspectral images
- data sets
- dimensionality reduction
- high resolution
- machine learning
- earth observation
- linear discriminant analysis
- feature set
- supervised learning
- high dimensional
- pattern recognition
- neural network