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Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar

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dc.contributor.authorGiannakis, Iraklis
dc.contributor.authorGiannopoulos, Antonios
dc.contributor.authorYarovoy, Alexander
dc.contributor.institutionUniversity of Aberdeen.Geology and Geophysicsen
dc.date.accessioned2020-04-15T09:00:01Z
dc.date.available2020-04-15T09:00:01Z
dc.date.embargoedUntil2017-02-11
dc.date.issued2016-06
dc.descriptionThis paper has been prepared in the frame of the FP7 project D-BOX under Grant agreement 284996. ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for their valuable comments and suggestions.en
dc.description.statusPeer revieweden
dc.format.extent10
dc.format.extent5860807
dc.identifier160731153
dc.identifierf933e484-fc97-4fa7-981a-029f56401db0
dc.identifier84969332172
dc.identifier.citationGiannakis, I, Giannopoulos, A & Yarovoy, A 2016, 'Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 6, pp. 3564-3573. https://doi.org/10.1109/TGRS.2016.2520298en
dc.identifier.doi10.1109/TGRS.2016.2520298
dc.identifier.iss6en
dc.identifier.issn1558-0644
dc.identifier.otherORCID: /0000-0002-7672-8992/work/147566867
dc.identifier.urihttps://hdl.handle.net/2164/14074
dc.identifier.vol54en
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensingen
dc.subjectArtificial neural networks (ANNs)en
dc.subjectclutteren
dc.subjectfinite-difference time domain (FDTD)en
dc.subjectfractalsen
dc.subjectground-penetrating radar (GPR)en
dc.subjectlandminesen
dc.subjectregressionen
dc.subjectsignal-to-clutter ratio (SCR)en
dc.subjectQE Geologyen
dc.subject.lccQEen
dc.titleModel-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radaren
dc.typeJournal articleen

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