Research on PCA and KPCA Self-Fusion Based MSTAR SAR Automatic Target Recognition Algorithm-中国期刊网

摘要 ThispaperproposesaPCAandKPCAself-fusionbasedMSTARSARautomatictargetrecognitionalgorithm.Thisalgorithmcombinesthelinearfeatureextractedfromprincipalcomponentanalysis(PCA)andnonlinearfeatureextractedfromkernelprincipalcomponentanalysis(KPCA)respectively,andthenutilizestheadaptivefeaturefusionalgorithmwhichisbasedontheweightedmaximummargincriterion(WMMC)tofusethefeaturesinordertoachievebetterperformance.Thelinearregressionclassifierisusedintheexperiments.Theexperimentalresultsindicatethattheproposedself-fusionalgorithmachieveshigherrecognitionratecomparedwiththetraditionalPCAandKPCAfeaturefusionalgorithms.

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Research on PCA and KPCA Self-Fusion Based MSTAR SAR Automatic Target Recognition Algorithm

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Research on PCA and KPCA Self-Fusion Based MSTAR SAR Automatic Target Recognition Algorithm

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