Integration of spectral information into support vector machine for land cover classification

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Integration of spectral information into support vector machine for land cover classification

Support vector machines (SVM) have been widely used for classification purposes. These learning machines are based on classification of data through a kernel function. Classically these kernel functions are either based the Euclidean distance of two data vectors or their dot products. This is a gene...

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Bibliographic Details
Main Authors:	Md. Sap, Mohd. Noor, Kohram, Mojtaba
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2007
Subjects:	ZA4050 Electronic information resources
Online Access:	http://eprints.utm.my/8184/ http://eprints.utm.my/8184/1/MohdNoorMd2007_IntegrationOfSpectralInformation.PDF

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