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https://hdl.handle.net/20.500.11851/6269
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tuncer, Mehmet Ali Çağrı | - |
dc.contributor.author | Gürbüz, Ali Cafer | - |
dc.date.accessioned | 2021-09-11T15:35:33Z | - |
dc.date.available | 2021-09-11T15:35:33Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.issn | 1300-0632 | - |
dc.identifier.issn | 1303-6203 | - |
dc.identifier.uri | https://search.trdizin.gov.tr/yayin/detay/135109 | - |
dc.identifier.uri | https://doi.org/10.3906/elk-1104-3 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6269 | - |
dc.description.abstract | it is shown that compressive sensing (CS) theory can be used for subsurface imaging in stepped frequency ground penetrating radars (GPR), resulting in robust sparse images, using fewer measurements. Although the data acquisition time is decreased by CS, the computational complexity of the minimization based imaging algorithm is too costly, which makes the algorithm useless; especially for extensive discretization or 3D imaging. In this paper, a greedy alternative, orthogonal matching pursuit (OMP) is used for imaging subsurface and its performance under various conditions is compared to CS imaging method. Results show that OMP could reconstruct sparse signals robustly as well as CS imaging. It is faster and easier to implement so it can be said that OMP is a fascinating alternative to CS imaging method for subsurface GPR imaging. | en_US |
dc.description.sponsorship | Scientific and Technical Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E280]; Marie Curie IRG GrantEuropean Commission [PIRG04-GA-2008-239506] | en_US |
dc.description.sponsorship | This work was supported by The Scientific and Technical Research Council of Turkey (TUBITAK) under Career program grant with contract agreement 109E280 and within the Marie Curie IRG Grant with grant agreement PIRG04-GA-2008-239506. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Tubitak Scientific & Technical Research Council Turkey | en_US |
dc.relation.ispartof | Turkish Journal of Electrical Engineering And Computer Sciences | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Ground Penetrating Radar (GPR) | en_US |
dc.subject | Radar | en_US |
dc.subject | Subsurface Imaging | en_US |
dc.subject | Compressive Sensing (CS) | en_US |
dc.subject | l(1) minimization | en_US |
dc.subject | Orthogonal Matching Pursuit (OMP) | en_US |
dc.title | Analysis of Orthogonal Matching Pursuit Based Subsurface Imaging for Compressive Ground Penetrating Radars | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 20 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.startpage | 979 | en_US |
dc.identifier.endpage | 989 | en_US |
dc.authorid | 0000-0001-8923-0299 | - |
dc.authorid | 0000-0001-7665-7461 | - |
dc.identifier.wos | WOS:000309698800011 | en_US |
dc.identifier.scopus | 2-s2.0-84865270621 | en_US |
dc.institutionauthor | Tuncer, Mehmet Ali Çağrı | - |
dc.institutionauthor | Gürbüz, Ali Cafer | - |
dc.identifier.doi | 10.3906/elk-1104-3 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrenci | en_US |
dc.identifier.scopusquality | Q2 | - |
dc.identifier.trdizinid | 135109 | en_US |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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