Study on SAR target recognition based on support vector machine

APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings（2009）

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摘要

This paper studies MSTAR SAR target recognition with Support Vector Machine (SVM) classifier by using Principal Component Analysis (PCA) features, without consideration of errors in target aspect angle estimation. A good strategy is proposed to avoid errors in classifier selection for the errors in estimation of aspect angle. The experiments based on MSTAR data set show perfect results. ©2009 IEEE.

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关键词

pca,svm,target recognition,kernel,support vector machines,synthetic aperture radar,principal component analysis,estimation,support vector machine,accuracy

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