Please use this identifier to cite or link to this item:
http://hdl.handle.net/11452/25894
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.date.accessioned | 2022-04-20T08:00:20Z | - |
dc.date.available | 2022-04-20T08:00:20Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Karpat, 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.issn | 1687-5869 | - |
dc.identifier.issn | 1687-5877 | - |
dc.identifier.uri | https://doi.org/10.1155/2012/917248 | - |
dc.identifier.uri | https://www.hindawi.com/journals/ijap/2012/917248/ | - |
dc.identifier.uri | http://hdl.handle.net/11452/25894 | - |
dc.description.abstract | An 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.language.iso | en | en_US |
dc.publisher | Hindawi | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights | Atıf Gayri Ticari Türetilemez 4.0 Uluslararası | tr_TR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Engineering | en_US |
dc.subject | Telecommunications | en_US |
dc.subject | Ground-penetrating radar | en_US |
dc.subject | Breast-cancer detection | en_US |
dc.subject | Inverse scattering | en_US |
dc.subject | Metallic cylinder | en_US |
dc.subject | Virtual tool | en_US |
dc.subject | Fdtd | en_US |
dc.subject | Simulation | en_US |
dc.subject | Reconstruction | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Finite difference time domain method | en_US |
dc.subject | Clean technique | en_US |
dc.subject | Finite difference time domains | en_US |
dc.subject | Image domain | en_US |
dc.subject | Imaging algorithm | en_US |
dc.subject | Non destructive | en_US |
dc.subject | Sar images | en_US |
dc.subject | Scattering centers | en_US |
dc.subject | Scattering data | en_US |
dc.subject | Sub-surface imaging | en_US |
dc.subject | Synthetic aperture radar | en_US |
dc.title | CLEAN technique to classify and detect objects in subsurface imaging | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000312808700001 | tr_TR |
dc.identifier.scopus | 2-s2.0-84872161613 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Elektronik Mühendisliği Bölümü. | tr_TR |
dc.contributor.orcid | 0000-0002-2740-8183 | tr_TR |
dc.identifier.startpage | 1 | tr_TR |
dc.identifier.endpage | 6 | tr_TR |
dc.identifier.volume | 2012 | tr_TR |
dc.relation.journal | International Journal of Antennas and Propagation | en_US |
dc.contributor.buuauthor | Karpat, Esin | - |
dc.contributor.researcherid | AAH-3387-2021 | tr_TR |
dc.subject.wos | Engineering, electrical & electronic | en_US |
dc.subject.wos | Telecommunications | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.wos.quartile | Q3 | en_US |
dc.contributor.scopusid | 26428191600 | tr_TR |
dc.subject.scopus | Parabolic Equation; Loran C; Ground Wave Propagation | en_US |
Appears in Collections: | Scopus Web of Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Karpat_2012.pdf | 3.64 MB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License