Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6522
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gürbüz, Ali Cafer | - |
dc.date.accessioned | 2021-09-11T15:37:07Z | - |
dc.date.available | 2021-09-11T15:37:07Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.issn | 1545-598X | - |
dc.identifier.uri | https://doi.org/10.1109/LGRS.2011.2174137 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6522 | - |
dc.description.abstract | Ground-penetrating radars (GPRs) show promising results for subsurface buried target detection. However, the online detection as the GPR scans a region is a difficult problem, and the best performance requires to know the characteristics of the clutter and noise which affect the used test statistics in detection. In statistical detection methods developed for GPR, mostly Gaussian clutter assumption is used mainly due to its simplicity. In this letter, a low-complexity goodness-of-fit test suitable for online GPR detection is applied to experimental GPR data sets to determine the best clutter distribution defining the data test statistic. The distributions of A-scan energies after background subtraction are determined from different experimental data taken over no-target regions. The obtained results show that the GPR clutter for the tested experimental data is mainly gamma distributed than Gaussian. The demonstrated procedure can be applied to any GPR data set for the determination of the background distribution, for target detection, and for selecting detection thresholds properly for GPR applications and more realistic GPR clutter generation simulations. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) within Career Program Grant "Compressive Remote Sensing and Imaging"Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E280]; Seventh Framework Programme (FP7) Marie Curie International Reintegration Grant "Compressive Data Acquisition and Processing Techniques for Sensing Applications" [PIRG04-GA-2008-239506] | en_US |
dc.description.sponsorship | Manuscript received June 22, 2011; revised October 5, 2011; accepted October 25, 2011. Date of publication December 5, 2011; date of current version May 7, 2012. This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) within Career Program Grant "Compressive Remote Sensing and Imaging" under Project 109E280 and within the Seventh Framework Programme (FP7) Marie Curie International Reintegration Grant "Compressive Data Acquisition and Processing Techniques for Sensing Applications" under Project PIRG04-GA-2008-239506. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | en_US |
dc.relation.ispartof | IEEE Geoscience And Remote Sensing Letters | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Clutter distribution | en_US |
dc.subject | goodness of fit | en_US |
dc.subject | ground-penetrating radars (GPRs) | en_US |
dc.subject | landmine detection | en_US |
dc.title | Determination of Background Distribution for Ground-Penetrating Radar Data | 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 | 9 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 544 | en_US |
dc.identifier.endpage | 548 | en_US |
dc.authorid | 0000-0001-8923-0299 | - |
dc.identifier.wos | WOS:000310909800002 | en_US |
dc.identifier.scopus | 2-s2.0-84861201789 | en_US |
dc.institutionauthor | Gürbüz, Ali Cafer | - |
dc.identifier.doi | 10.1109/LGRS.2011.2174137 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
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 WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
14
checked on Dec 21, 2024
WEB OF SCIENCETM
Citations
15
checked on Sep 21, 2024
Page view(s)
54
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.