Weighted radial basis function kernels-based support vector machines for multispectral image classification.
Shih-Yu ChenYen Chieh OuyangChein-I ChangPublished in: IGARSS (2012)
Keyphrases
- multispectral
- radial basis function
- support vector
- image classification
- rbf kernel
- large margin classifiers
- learning machines
- kernel function
- rbf neural network
- rbf network
- remote sensing
- remotely sensed data
- image data
- svm classifier
- multispectral images
- support vector machine
- image features
- remote sensing data
- remote sensing images
- kernel methods
- image analysis
- hyperspectral
- cross validation
- multi band
- land cover
- neural network
- spatial resolution
- feature extraction
- kernel machines
- basis functions
- loss function
- feature selection
- support vector machine svm
- sequential minimal optimization
- hyperspectral images
- support vector regression
- data fusion
- nearest neighbor
- multiresolution
- artificial neural networks
- reproducing kernel hilbert space
- support vectors
- positive definite
- hyperspectral data
- color images
- genetic algorithm