Mine detection using SF-GPR: A signal processing approach for resolution enhancement and clutter reduction

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2001Researchpeer-review

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Proper clutter reduction is essential for Ground Penetrating Radar data since low signal-to-clutter ratio prevent correct detection of mine objects. A signal processing approach for resolution enhancement and clutter reduction used on Stepped-Frequency Ground Penetrating Radar (SF-GPR) data is presented, and the effects of combining clutter reduction with resolution enhancement are examined using simulated SF-GPR data examples. The resolution enhancement method is based on methods from optical signal processing and is largely carried out in the frequency domain to reduce the computational burden. The clutter reduction method is based on basis function decomposition of the SF-GPR time-series from which the clutter and the signal are separated.
Original languageEnglish
Title of host publicationProceedings of SPIE
EditorsA.C. Dubey, J.F Harvey, J Thomas Broach, V George
Number of pages1342
Volume4394
PublisherSPIE - International Society for Optical Engineering
Publication date2001
Pages817-827
ISBN (Print)0819440892
DOIs
Publication statusPublished - 2001
EventDetection and Remediation Technologies for Mines and Minelike Targets VI -
Duration: 1 Jan 2001 → …

Conference

ConferenceDetection and Remediation Technologies for Mines and Minelike Targets VI
Period01/01/2001 → …
CitationsWeb of Science® Times Cited: No match on DOI
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