Support vector machines for hyperspectral image classification with spectral-based kernels.
Grégoire MercierMarc LennonPublished in: IGARSS (2003)
Keyphrases
- target tracking
- hyperspectral image classification
- support vector
- large margin classifiers
- hyperspectral
- hyperspectral images
- learning machines
- kernel function
- active learning
- target detection
- hyperspectral data
- kernel methods
- hyperspectral imagery
- polynomial kernels
- infrared
- remote sensing
- rbf kernel
- support vector machine
- multiple kernel learning
- generalization bounds
- classification accuracy
- kernel machines
- image data
- decision trees
- hyperplane
- data sets
- feature selection
- svm classification
- mutual information
- pattern recognition
- margin maximization
- learning algorithm
- random projections
- linear discriminant analysis
- svm classifier
- feature space