A relative evaluation of multi-class image classification by support vector machines

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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...

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Bibliographic Details
Main Authors:	Foody, Giles M., Mathur, Ajay
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2004
Online Access:	https://eprints.nottingham.ac.uk/1936/

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