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Crop classification by a support vector machine with intelligently selected training data for an operational application (2008)
Journal Article

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 statistica... Read More about Crop classification by a support vector machine with intelligently selected training data for an operational application.