Composite kernels for support vector classification of hyper-spectral data
The incorporation of prior knowledge into the Support Vector Machine (SVM) architecture is a problem which if solved can lead to much more accurate classifiers in the near future. This result could be particularly effective in the classification of remote sensing imagery, where an abundance of infor...
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| Main Authors: | , |
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| Format: | Book Section |
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Springer Verlag
2008
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/12518/ http://dx.doi.org/10.1007/978-3-540-88636-535 |
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