Optimization of inverse problems involving surface reconstruction: least squares application
dc.authorid | 0000-0001-5168-4367 | |
dc.contributor.author | Sefer, Ahmet | en_US |
dc.date.accessioned | 2022-10-26T17:46:45Z | |
dc.date.available | 2022-10-26T17:46:45Z | |
dc.date.issued | 2022 | |
dc.department | Işık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering and Natural Sciences, Department of Electrical and Electronics Engineering | en_US |
dc.description.abstract | This 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.description.version | Publisher's Version | en_US |
dc.identifier.citation | Sefer, 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-RASC54737.2022.9814221 | en_US |
dc.identifier.doi | 10.23919/AT-AP-RASC54737.2022.9814221 | |
dc.identifier.endpage | 4 | |
dc.identifier.isbn | 9789463968058 | |
dc.identifier.isbn | 9781665499866 | |
dc.identifier.scopus | 2-s2.0-85134876871 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11729/5092 | |
dc.identifier.uri | http://dx.doi.org/10.23919/AT-AP-RASC54737.2022.9814221 | |
dc.identifier.wos | WOS:000848420400058 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Conference Proceedings Citation Index – Science (CPCI-S) | en_US |
dc.institutionauthor | Sefer, Ahmet | en_US |
dc.institutionauthorid | 0000-0001-5168-4367 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Electric fields | en_US |
dc.subject | Functions | en_US |
dc.subject | Iterative methods | en_US |
dc.subject | Least squares approximations | en_US |
dc.subject | Surface measurement | en_US |
dc.subject | Surface reconstruction | en_US |
dc.subject | Surface scattering | en_US |
dc.subject | Base function | en_US |
dc.subject | Inverse scattering problems | en_US |
dc.subject | Least square | en_US |
dc.subject | Least-squares- methods | en_US |
dc.subject | Optimisations | en_US |
dc.subject | Rough surfaces | en_US |
dc.subject | Scattered field data | en_US |
dc.subject | Surface profiles | en_US |
dc.subject | Surfaces reconstruction | en_US |
dc.subject | Unknown surface | en_US |
dc.subject | Inverse problems | en_US |
dc.subject | Electromagnetic scattering | en_US |
dc.subject | Oceans and seas | en_US |
dc.subject | Physical optics | en_US |
dc.subject | Integral-equation | en_US |
dc.subject | Scattering | en_US |
dc.title | Optimization of inverse problems involving surface reconstruction: least squares application | en_US |
dc.type | Conference Object | en_US |
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