Crop classification by a support vector machine with intelligently selected training data for an operational application

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Crop classification by a support vector machine with intelligently selected training data for an operational application

The accuracy of supervised classification is dependent to a large extent on the training data used. The aim is often to capture a large training set to fully describe the classes spectrally, commonly with the requirements of a conventional statistical classifier in-mind. However, it is not always ne...

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Bibliographic Details
Main Authors:	Mathur, Ajay, Foody, Giles M.
Format:	Article
Published:	Taylor & Francis 2008
Online Access:	https://eprints.nottingham.ac.uk/1996/

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