Customizing kernel functions for SVM-based hyperspectral image classification

Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms. However, few efforts have been made to extend SVMs to cover the specific requirements of hyperspectral image...

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Détails bibliographiques

Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 17(2008), 4 vom: 01. Apr., Seite 622-9
Auteur principal:	Guo, B (Auteur)
Autres auteurs:	Gunn, Steve R, Damper, R I, Nelson, J B
Format:	Article en ligne
Langue:	English
Publié:	2008
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article