CLEAN technique to classify and detect objects in subsurface imaging

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dc.contributor.buuauthorKarpat, Esin
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Elektronik Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0002-2740-8183tr_TR
dc.contributor.researcheridAAH-3387-2021tr_TR
dc.contributor.scopusid26428191600tr_TR
dc.date.accessioned2022-04-20T08:00:20Z
dc.date.available2022-04-20T08:00:20Z
dc.date.issued2012
dc.description.abstractAn image domain CLEAN technique, for nondestructive and noncontacting subsurface imaging, is discussed. Recently introduced finite-difference time-domain- (FDTD-) based virtual tool, GrGPR, is used to create imaging scenarios and to generate synthetic scattering data through synthetic aperture (SAR) type scanning. Matlab-based imaging algorithms are used to process recorded FDTD data. The location and the geometry of the targets are obtained by image domain CLEAN technique which is extracting scattering centers from the SAR image. The effectiveness of the algorithm is tested in simulated data.en_US
dc.identifier.citationKarpat, E. (2012). "CLEAN technique to classify and detect objects in subsurface imaging". International Journal of Antennas and Propagation, 2012, 1-6.en_US
dc.identifier.endpage6tr_TR
dc.identifier.issn1687-5869
dc.identifier.issn1687-5877
dc.identifier.scopus2-s2.0-84872161613tr_TR
dc.identifier.startpage1tr_TR
dc.identifier.urihttps://doi.org/10.1155/2012/917248
dc.identifier.urihttps://www.hindawi.com/journals/ijap/2012/917248/
dc.identifier.urihttp://hdl.handle.net/11452/25894
dc.identifier.volume2012tr_TR
dc.identifier.wos000312808700001
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherHindawien_US
dc.relation.journalInternational Journal of Antennas and Propagationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEngineeringen_US
dc.subjectTelecommunicationsen_US
dc.subjectGround-penetrating radaren_US
dc.subjectBreast-cancer detectionen_US
dc.subjectInverse scatteringen_US
dc.subjectMetallic cylinderen_US
dc.subjectVirtual toolen_US
dc.subjectFdtden_US
dc.subjectSimulationen_US
dc.subjectReconstructionen_US
dc.subjectAlgorithmsen_US
dc.subjectFinite difference time domain methoden_US
dc.subjectClean techniqueen_US
dc.subjectFinite difference time domainsen_US
dc.subjectImage domainen_US
dc.subjectImaging algorithmen_US
dc.subjectNon destructiveen_US
dc.subjectSar imagesen_US
dc.subjectScattering centersen_US
dc.subjectScattering dataen_US
dc.subjectSub-surface imagingen_US
dc.subjectSynthetic aperture radaren_US
dc.subject.scopusParabolic Equation; Loran C; Ground Wave Propagationen_US
dc.subject.wosEngineering, electrical & electronicen_US
dc.subject.wosTelecommunicationsen_US
dc.titleCLEAN technique to classify and detect objects in subsurface imagingen_US
dc.typeArticle
dc.wos.quartileQ3en_US

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