Shallow buried object detection using GPR
buir.advisor | Arıkan, Orhan | |
dc.contributor.author | Kamacı, Nejat | |
dc.date.accessioned | 2016-01-08T20:16:30Z | |
dc.date.available | 2016-01-08T20:16:30Z | |
dc.date.issued | 1999 | |
dc.description | Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1999. | en_US |
dc.description | Thesis (Master's) -- Bilkent University, 1999. | en_US |
dc.description | Includes bibliographical references leaves 70-72. | en_US |
dc.description.abstract | Ground 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.provenance | Made available in DSpace on 2016-01-08T20:16:30Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5) | en |
dc.description.statementofresponsibility | Kamacı, Nejat | en_US |
dc.format.extent | xxi, 72 leaves, illustrations | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/18129 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Ground Penetrating Radar | en_US |
dc.subject | Background Removal | en_US |
dc.subject | Adaptive Correlation | en_US |
dc.subject.lcc | TK6592 .K36 1999 | en_US |
dc.subject.lcsh | Ground penetrating radar. | en_US |
dc.title | Shallow buried object detection using GPR | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Electrical and Electronic Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |
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