In this paper, we present the application to SAR imagery classification of a novel pattern recognition technique named Multi-class Support Vector Machines (M-SVMs). M-SVMs are a n-ary extension of Support Vector Machines (SVM), introduced by Vapnik within the framework of the Statistical Learning Theory. In this article we use the M-SVMs in order to classify an ERS-1 SAR multi-frequency survey of Torre de Hercules coast, Spain (December 13, 1992). The main objective of this work is to evaluate the classification performances of M-SVMs in comparison with the most frequently employed Neural Networks and Fuzzy classifiers. M-SVMs provided interesting results with respect to Neural Networks and Fuzzy classifiers, having a reliability factor around to 94%.
SAR Imagery Classification Using Multi-Class Support Vector Machines” / Angiulli, G; Barrile, V; Cacciola, M. - In: JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS. - ISSN 0920-5071. - 19:14(2005), pp. 1865-1872. (Intervento presentato al convegno Proceedings of Progress In Electromagnetics Research Symposium tenutosi a Hangzhou, China nel August 2005) [10.1163/156939305775570558].
SAR Imagery Classification Using Multi-Class Support Vector Machines”
ANGIULLI G
;BARRILE V;
2005-01-01
Abstract
In this paper, we present the application to SAR imagery classification of a novel pattern recognition technique named Multi-class Support Vector Machines (M-SVMs). M-SVMs are a n-ary extension of Support Vector Machines (SVM), introduced by Vapnik within the framework of the Statistical Learning Theory. In this article we use the M-SVMs in order to classify an ERS-1 SAR multi-frequency survey of Torre de Hercules coast, Spain (December 13, 1992). The main objective of this work is to evaluate the classification performances of M-SVMs in comparison with the most frequently employed Neural Networks and Fuzzy classifiers. M-SVMs provided interesting results with respect to Neural Networks and Fuzzy classifiers, having a reliability factor around to 94%.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
