Publication:
CLEAN technique to classify and detect objects in subsurface imaging

dc.contributor.buuauthorKarpat, Esin
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektronik Mühendisliği Bölümü
dc.contributor.orcid0000-0002-2740-8183
dc.contributor.researcheridAAH-3387-2021
dc.contributor.scopusid26428191600
dc.date.accessioned2022-04-20T08:00:20Z
dc.date.available2022-04-20T08:00:20Z
dc.date.issued2012
dc.description.abstractAn 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.
dc.identifier.citationKarpat, E. (2012). "CLEAN technique to classify and detect objects in subsurface imaging". International Journal of Antennas and Propagation, 2012, 1-6.
dc.identifier.endpage6
dc.identifier.issn1687-5869
dc.identifier.issn1687-5877
dc.identifier.scopus2-s2.0-84872161613
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1155/2012/917248
dc.identifier.urihttps://www.hindawi.com/journals/ijap/2012/917248/
dc.identifier.urihttp://hdl.handle.net/11452/25894
dc.identifier.volume2012
dc.identifier.wos000312808700001
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherHindawi
dc.relation.journalInternational Journal of Antennas and Propagation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectEngineering
dc.subjectTelecommunications
dc.subjectGround-penetrating radar
dc.subjectBreast-cancer detection
dc.subjectInverse scattering
dc.subjectMetallic cylinder
dc.subjectVirtual tool
dc.subjectFdtd
dc.subjectSimulation
dc.subjectReconstruction
dc.subjectAlgorithms
dc.subjectFinite difference time domain method
dc.subjectClean technique
dc.subjectFinite difference time domains
dc.subjectImage domain
dc.subjectImaging algorithm
dc.subjectNon destructive
dc.subjectSar images
dc.subjectScattering centers
dc.subjectScattering data
dc.subjectSub-surface imaging
dc.subjectSynthetic aperture radar
dc.subject.scopusParabolic Equation; Loran C; Ground Wave Propagation
dc.subject.wosEngineering, electrical & electronic
dc.subject.wosTelecommunications
dc.titleCLEAN technique to classify and detect objects in subsurface imaging
dc.typeArticle
dc.wos.quartileQ3
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Karpat_2012.pdf
Size:
3.56 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Placeholder
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: