A relative evaluation of multi-class image classification by support vector machines
Support vector machines (SVM) have considerable potential as classifiers of remotely sensed data. A constraint on their application in remote sensing has been their binary nature, requiring multi-class classifications to be based upon a large number of binary analyses. Here, an approach for multi-cl...
| Main Authors: | , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2004
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| Online Access: | https://eprints.nottingham.ac.uk/1936/ |