Clutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detection

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dc.contributor.authorKabourek, Vaclav
dc.contributor.authorCerny, Petr
dc.contributor.authorMazanek, Milos
dc.coverage.issue1cs
dc.coverage.volume21cs
dc.date.accessioned2015-01-22T09:24:03Z
dc.date.available2015-01-22T09:24:03Z
dc.date.issued2012-04cs
dc.description.abstractThis paper brings a brief overview of the statistical method called Principal Component Analysis (PCA). It is used for clutter reduction in detection of hidden objects, targets hidden behind walls, buried landmines, etc. Since the measured data, imaged in time domain, suffer from the hyperbolic character of objects’ reflections, utilization of the Synthetic Aperture Radar (SAR) method is briefly described. Besides, the mathematical basics of PCA as well as its comparison with Singular Value Decomposition are presented. The principles of ground and clutter subtraction from image are then demonstrated using training data set and SAR processed measured data.en
dc.formattextcs
dc.format.extent464-470cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2012, vol. 21, č. 1, s. 464-470. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/37067
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2012/12_01_0464_0470.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectSynthetic Aperture Radaren
dc.subjectthrough-wall imagingen
dc.subjectSingular Value Decompositionen
dc.subjectPrincipal Component Analysisen
dc.titleClutter Reduction Based on Principal Component Analysis Technique for Hidden Objects Detectionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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