Imaging of rough surfaces by RTM method

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dc.authorid0000-0001-5168-4367
dc.authorid0000-0003-2966-5623
dc.authorid0000-0002-3668-7751
dc.contributor.authorSefer, Ahmeten_US
dc.contributor.authorYapar, Alien_US
dc.contributor.authorYelkenci, Tanjuen_US
dc.date.accessioned2024-03-19T14:47:53Z
dc.date.available2024-03-19T14:47:53Z
dc.date.issued2024
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineeringen_US
dc.description.abstractAn electromagnetic imaging framework is implemented utilizing a single frequency reverse time migration (RTM) technique to accurately reconstruct inaccessible two-dimensional (2D) rough surface profiles from the knowledge of scattered field data. The unknown surface profile, which is expressed as a 1D height function, is either perfectly electric conducting (PEC) or an interface between two penetrable media. For both cases, it is assumed that the surface is illuminated by a number of line sources located in the upper medium. The scattered fields, which should be collected by real measurements in practical applications, are obtained synthetically by solving the associated direct scattering problem through the surface integral equations. RTM is subsequently applied to generate a cross-correlation imaging functional which is evaluated numerically and provides a 2D image of the region of interest. A high correlation is observed by the functional in the regions where the transitions between two media occur. Hence, it results in the acquisition of the unknown surface profile at the sites where the functional attains its highest values. The efficiency of the proposed method is comprehensively tested by numerical examples covering various types of scattering scenarios.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationSefer, A., Yapar, A. & Yelkenci, T. (2024). Imaging of rough surfaces by RTM method. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. doi:10.1109/TGRS.2024.3374972en_US
dc.identifier.doi10.1109/TGRS.2024.3374972
dc.identifier.endpage13
dc.identifier.issn0196-2892
dc.identifier.issn1558-0644
dc.identifier.scopus2-s2.0-85187365465
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/5932
dc.identifier.urihttp://dx.doi.org/10.1109/TGRS.2024.3374972
dc.identifier.volume62
dc.identifier.wosWOS:001189388400013
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorSefer, Ahmeten_US
dc.institutionauthorid0000-0001-5168-4367
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImagingen_US
dc.subjectInverse electromagnetic scattering problemsen_US
dc.subjectMediaen_US
dc.subjectReverse time migrationen_US
dc.subjectRough surface reconstructionen_US
dc.subjectRough surfacesen_US
dc.subjectSurface reconstructionen_US
dc.subjectSurface roughnessen_US
dc.subjectSurface wavesen_US
dc.subjectThree-dimensional displaysen_US
dc.subjectApproximation algorithmsen_US
dc.subjectElectric conductanceen_US
dc.subjectImage segmentationen_US
dc.subjectIntegral equationsen_US
dc.subjectInverse problemsen_US
dc.subjectNumerical methodsen_US
dc.subjectSurface measurementen_US
dc.subjectSurface scatteringen_US
dc.subjectElectromagnetic scattering problemen_US
dc.subjectInverse electromagnetic scatteringsen_US
dc.subjectMediumen_US
dc.subjectReverse-time migrationen_US
dc.subjectScatteringen_US
dc.subjectReconstructionen_US
dc.subjectAlgorithmen_US
dc.subjectGathersen_US
dc.titleImaging of rough surfaces by RTM methoden_US
dc.typeArticleen_US

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