Gpr Raw-Data Order Statistic Filtering and Split-Spectrum Processing To Detect Moisture

dc.contributor.author Kilic, Gokhan
dc.date.accessioned 2023-06-16T14:41:03Z
dc.date.available 2023-06-16T14:41:03Z
dc.date.issued 2014
dc.description.abstract Considerable research into the area of bridge health monitoring has been undertaken; however, information is still lacking on the effects of certain defects, such as moisture ingress, on the results of ground penetrating radar (GPR) surveying. In this paper, this issue will be addressed by examining the results of a GPR bridge survey, specifically the effect of moisture in the predicted position of the rebars. It was found that moisture ingress alters the radargram to indicate distortion or skewing of the steel reinforcements, when in fact destructive testing was able to confirm that no such distortion or skewing had occurred. Additionally, split-spectrum processing with order statistic filters was utilized to detect moisture ingress from the GPR raw data. en_US
dc.identifier.doi 10.3390/rs6064687
dc.identifier.issn 2072-4292
dc.identifier.scopus 2-s2.0-84901454238
dc.identifier.uri https://doi.org/10.3390/rs6064687
dc.identifier.uri https://hdl.handle.net/20.500.14365/2543
dc.language.iso en en_US
dc.publisher Mdpi en_US
dc.relation.ispartof Remote Sensıng en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject GPR and data processing en_US
dc.subject bridge structures en_US
dc.subject structures en_US
dc.subject non-destructive en_US
dc.subject moisture ingress en_US
dc.subject split-spectrum processing (SSP) en_US
dc.subject order statistic filters en_US
dc.subject Ground-Penetrating Radar en_US
dc.subject Nondestructive Evaluation en_US
dc.subject Concrete en_US
dc.subject Inspection en_US
dc.subject Ndt en_US
dc.title Gpr Raw-Data Order Statistic Filtering and Split-Spectrum Processing To Detect Moisture en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id KILIC, GOKHAN/0000-0001-6928-226X
gdc.author.scopusid 40761843000
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp Izmir Univ Econ, Dept Civil Engn, TR-35330 Izmir, Turkey en_US
gdc.description.endpage 4704 en_US
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 4687 en_US
gdc.description.volume 6 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2040229486
gdc.identifier.wos WOS:000338763300003
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.5844382E-9
gdc.oaire.isgreen false
gdc.oaire.keywords split-spectrum processing (SSP)
gdc.oaire.keywords moisture ingress
gdc.oaire.keywords Science
gdc.oaire.keywords Q
gdc.oaire.keywords bridge structures
gdc.oaire.keywords order statistic filters
gdc.oaire.keywords GPR and data processing; bridge structures; structures; non-destructive; moisture ingress; split-spectrum processing (SSP); order statistic filters
gdc.oaire.keywords non-destructive
gdc.oaire.keywords GPR and data processing
gdc.oaire.keywords structures
gdc.oaire.popularity 1.5694359E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0103 physical sciences
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration National
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gdc.openalex.normalizedpercentile 0.7
gdc.opencitations.count 3
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gdc.plumx.facebookshareslikecount 6
gdc.plumx.mendeley 26
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gdc.scopus.citedcount 4
gdc.virtual.author Kılıç, Gökhan
gdc.wos.citedcount 4
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