Shallow buried object detection using GPR

buir.advisorArıkan, Orhan
dc.contributor.authorKamacı, Nejat
dc.date.accessioned2016-01-08T20:16:30Z
dc.date.available2016-01-08T20:16:30Z
dc.date.issued1999
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1999.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1999.en_US
dc.descriptionIncludes bibliographical references leaves 70-72.en_US
dc.description.abstractGround Penetrating Radar received considerable attention in the use of shallow buried object detection. Differing from the traditional sensor systems such as electro magnetic induction based metal detector sensor, GPR can be used for objects with any property and any shape for a wide range of desired sensitivity and specificity. In this thesis, based on a simplified but robust measurement, model a three-stage algorithm is proposed for the real-time detection and localization of the shallow buried objects by using GPR measurements. Since all three stages of the proposed approach have environment adaptive features, the detection performance remains successful in a wide range of scenarios that can be encountered in applications.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:16:30Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityKamacı, Nejaten_US
dc.format.extentxxi, 72 leaves, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/18129
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGround Penetrating Radaren_US
dc.subjectBackground Removalen_US
dc.subjectAdaptive Correlationen_US
dc.subject.lccTK6592 .K36 1999en_US
dc.subject.lcshGround penetrating radar.en_US
dc.titleShallow buried object detection using GPRen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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