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dc.contributor.authorSefer, Ahmeten_US
dc.date.accessioned2022-10-26T17:46:45Z
dc.date.available2022-10-26T17:46:45Z
dc.date.issued2022
dc.identifier.citationSefer, A. (2022). Optimization of inverse problems involving surface reconstruction: least squares application. Paper presented at the 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022, 1-4. doi:10.23919/AT-AP-RASC54737.2022.9814221en_US
dc.identifier.isbn9789463968058
dc.identifier.isbn9781665499866
dc.identifier.urihttps://hdl.handle.net/11729/5092
dc.identifier.urihttp://dx.doi.org/10.23919/AT-AP-RASC54737.2022.9814221
dc.description.abstractThis article addresses the least-squares method, which is vital in inverse scattering problems involving the reconstruction of inaccessible rough surface profiles from the measured scattered field data. The unknown surface profile is retrieved by a regularized recursive Newton algorithm which is regularized by the Tikhonov method. The importance of the least-squares application reveals at this point, where the unknown surface profile is expressed as a linear combination of some appropriate basis functions. Thus, the problem of obtaining the unknown rough surface is reduced to finding the unknown coefficients of these functions. As an optimization problem, the choice of appropriate basis functions, as well as the number of their expansions for rough surface imaging problems are essential for the iterative solutions. The validation limits and the performances of different basis functions are presented via several numerical examples.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectric fieldsen_US
dc.subjectFunctionsen_US
dc.subjectIterative methodsen_US
dc.subjectLeast squares approximationsen_US
dc.subjectSurface measurementen_US
dc.subjectSurface reconstructionen_US
dc.subjectSurface scatteringen_US
dc.subjectBase functionen_US
dc.subjectInverse scattering problemsen_US
dc.subjectLeast squareen_US
dc.subjectLeast-squares- methodsen_US
dc.subjectOptimisationsen_US
dc.subjectRough surfacesen_US
dc.subjectScattered field dataen_US
dc.subjectSurface profilesen_US
dc.subjectSurfaces reconstructionen_US
dc.subjectUnknown surfaceen_US
dc.subjectInverse problemsen_US
dc.subjectElectromagnetic scatteringen_US
dc.subjectOceans and seasen_US
dc.subjectPhysical opticsen_US
dc.subjectIntegral-equationen_US
dc.subjectScatteringen_US
dc.titleOptimization of inverse problems involving surface reconstruction: least squares applicationen_US
dc.typeConference Objecten_US
dc.description.versionPublisher's Versionen_US
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.authorid0000-0001-5168-4367
dc.authorid0000-0001-5168-4367en_US
dc.identifier.startpage1
dc.identifier.endpage4
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorSefer, Ahmeten_US
dc.indekslendigikaynakConference Proceedings Citation Index- Science (CPCI-S)
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index- Science (CPCI-S)en_US
dc.identifier.wosqualityN/Aen_US
dc.identifier.wosWOS:000848420400058
dc.identifier.wosWOS:000848420400058en_US
dc.identifier.scopus2-s2.0-85134876871en_US
dc.identifier.doi10.23919/AT-AP-RASC54737.2022.9814221
dc.identifier.scopusqualityN/Aen_US


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