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: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2004
|
| Online Access: | http://eprints.nottingham.ac.uk/1936/ http://eprints.nottingham.ac.uk/1936/ http://eprints.nottingham.ac.uk/1936/ http://eprints.nottingham.ac.uk/1936/1/eprints-svm2004.pdf |