Spectral angle based kernels for the classification of hyperspectral images using support vector machines

Spectral angle based kernels for the classification of hyperspectral images using support vector machines

Support vector machines (SVM) have been extensively used for classification purposes in a broad range of applications. These learning machines base their classification on the Euclidean distance of the data vectors or their dot products. These measures do not account for the spectral signature infor...

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Bibliographic Details
Main Authors:	Sap, M. N. N., Kohram, Mojtaba
Format:	Book Section
Published:	Institute of Electrical and Electronics Engineers 2008
Subjects:	QA75 Electronic computers. Computer science

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