Man-made object classification in SAR images using 2-D cepstrum

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage4en_US
dc.citation.spage1en_US
dc.contributor.authorEryildirim, A.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialPasadena, CA, USA
dc.date.accessioned2016-02-08T11:34:21Z
dc.date.available2016-02-08T11:34:21Z
dc.date.issued2009-05en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 4-8 May 2009
dc.descriptionConference name: 2009 IEEE Radar Conference
dc.description.abstractIn this paper, a novel descriptive feature parameter extraction method from Synthetic Aperture Radar (SAR) images is proposed. The new method is based on the two-dimensional (2-D) real cepstrum. This novel 2-D cepstrum method is compared with principal component analysis (PCA) method by testing over the MSTAR image database. The extracted features are classified using Support Vector Machine (SVM). We demonstrate that discrimination of natural background (clutter) and man-made objects (metal objects) in SAR imagery is possible using the 2-D cepstrum feature parameters. In addition, the computational cost of the cepstrum method is lower than the PCA method. Experimental results are presented. ©2009 IEEE.en_US
dc.identifier.doi10.1109/RADAR.2009.4976990en_US
dc.identifier.urihttp://hdl.handle.net/11693/26737
dc.language.isoEnglishen_US
dc.publisherIEEE
dc.relation.isversionofhttp://dx.doi.org/10.1109/RADAR.2009.4976990en_US
dc.source.titleIEEE National Radar Conference - Proceedingsen_US
dc.subjectCepstrumen_US
dc.subjectCepstrum methoden_US
dc.subjectComputational costsen_US
dc.subjectFeature parametersen_US
dc.subjectImage databaseen_US
dc.subjectMan made objectsen_US
dc.subjectNatural backgroundsen_US
dc.subjectPCA methoden_US
dc.subjectSAR imageryen_US
dc.subjectSAR Imagesen_US
dc.subjectSynthetic aperture radar imagesen_US
dc.subjectFeature extractionen_US
dc.subjectImage retrievalen_US
dc.subjectImaging systemsen_US
dc.subjectMetal recoveryen_US
dc.subjectObject recognitionen_US
dc.subjectParameter extractionen_US
dc.subjectPrincipal component analysisen_US
dc.subjectSmeltingen_US
dc.subjectSupport vector machinesen_US
dc.subjectSynthetic aperturesen_US
dc.subjectSynthetic aperture radaren_US
dc.titleMan-made object classification in SAR images using 2-D cepstrumen_US
dc.typeConference Paperen_US

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