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dc.contributor.advisorHo, Dominic K. C.en
dc.contributor.authorMa, Zhenhuaen_US
dc.date.issued2007en_US
dc.date.submitted2007 Fallen
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.en_US
dc.descriptionTitle from title screen of research.pdf file (viewed on November 11, 2008)en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2007.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.en_US
dc.description.abstractLand mine detection is an important and yet challenging problem that remains to be solved. It is not only a problem for military, but also for humanitarian concern. The goal of this research is to propose some techniques for landmine detection. Two advanced feature based techniques are developed. One algorithm applies the clustering method based on the spectral feature vectors formed by the energy density spectra of return sensor signals, the idea behind is to find out whether there are some "hidden patterns" among the spectral feature vectors. The other one is the subspace detector technique that utilizes the energy density spectra of return signals directly. These techniques are tested in various testing data sets collected from the vehicle mounted ground penetrating radar to evaluate their ability to improve the detection result and reduce the false alarm rates. Both of them are proved to be useful in improving the detection of land mines.en_US
dc.identifier.merlin.b65265178en_US
dc.identifier.oclc271015266en_US
dc.identifier.otherMaZ-120507-T8698en_US
dc.identifier.urihttp://hdl.handle.net/10355/4971
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartof2007 Freely available theses (MU)en_US
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2007 Theses
dc.subject.lcshLand mines -- Detectionen_US
dc.titleAdvanced feature based techniques for landmine detection using ground penetrating radaren_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical engineeringen_US
thesis.degree.grantorUniversity of Missouri--Columbiaen_US
thesis.degree.levelMastersen_US
thesis.degree.nameM.S.en_US


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