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Title: Advances in EMI and GPR algorithms in discrimination mode processing for handheld landmine detectors
Author (s): Stanley, R. Joe
Ho, Dominic K. C.
Gader, Paul D.
Wilson, Joseph N.
Devaney, James B.
Department/Lab Affiliations: Electrical and Computer Engineering
Image Processing Laboratory
Keywords: EMI sensor
GPR sensor
detection algorithms
weighted distributed density (WDD)
Issue Date: 2004
Publisher: Society of Photo-Optical Instrumentation Engineers SPIE
Citation: Stanley, R.J., Ho, D.K.C., Gader, P.D., Wilson, J.N., Devaney, J.B. “Advances in EMI and GPR algorithms in discrimination mode processing for handheld landmine detectors”, Proceedings of the SPIE, vol. 5415, pp. 874-882 (2004).
Abstract: This paper presents some advancement in the detection algorithms using EMI sensor, GPR sensor and their fusion. In the EMI algorithm, we propose the application of the weighted distributed density (WDD) functions on the wavelet domain and the time domain of the EMI data for feature based detection. A multilayer perceptron technique is then applied to discriminate between mine and clutter objects based on the wavelet domain and time domain features separately. When the results from the two domains are fused together, the probability of false alarms is reduced by a factor of two. The enhancement in the GPR algorithm includes the depth processing which selects a certain data segment below the ground surface for detection, as well as utilizing the phase variation of the signal return across a mine to achieve better detection. Finally, we present fusion results from EMI and GPR sensors to demonstrate that the two sensors provide complementary information and when they are properly fused together the probability of false alarm can be reduced significantly.
Type: Article - Conference proceedings
text
In Title: Proceedings of the SPIE
Copyright Notice: No full text allowed
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Publisher URL:
http://dx.doi.org/10.1117/12.544328
Link to this page:
http://scholarsmine.mst.edu/post_prints/AdvancesInEMIAndGPRAlgorithmsInDiscrimination_09007dcc8053be46.html



titleAdvances in EMI and GPR algorithms in discrimination mode processing for handheld landmine detectors
contributor.authorStanley, R. Joe
contributor.authorHo, Dominic K. C.
contributor.authorGader, Paul D.
contributor.authorWilson, Joseph N.
contributor.authorDevaney, James B.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabImage Processing Laboratory
subjectEMI sensor
subjectGPR sensor
subjectdetection algorithms
subjectweighted distributed density (WDD)
date.issued2004
publisherSociety of Photo-Optical Instrumentation Engineers SPIE
identifier.citationStanley, R.J., Ho, D.K.C., Gader, P.D., Wilson, J.N., Devaney, J.B. “Advances in EMI and GPR algorithms in discrimination mode processing for handheld landmine detectors”, Proceedings of the SPIE, vol. 5415, pp. 874-882 (2004).
identifier.pub.URI
http://dx.doi.org/10.1117/12.544328
description.abstractThis paper presents some advancement in the detection algorithms using EMI sensor, GPR sensor and their fusion. In the EMI algorithm, we propose the application of the weighted distributed density (WDD) functions on the wavelet domain and the time domain of the EMI data for feature based detection. A multilayer perceptron technique is then applied to discriminate between mine and clutter objects based on the wavelet domain and time domain features separately. When the results from the two domains are fused together, the probability of false alarms is reduced by a factor of two. The enhancement in the GPR algorithm includes the depth processing which selects a certain data segment below the ground surface for detection, as well as utilizing the phase variation of the signal return across a mine to achieve better detection. Finally, we present fusion results from EMI and GPR sensors to demonstrate that the two sensors provide complementary information and when they are properly fused together the probability of false alarm can be reduced significantly.
typeArticle - Conference proceedings
type.DCMITypetext
rightsNo full text allowed
rights.URI
http://spie.org/x1126.xml
relation.isPartOfProceedings of the SPIE
date.available2008-07-31T19:27:44Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/AdvancesInEMIAndGPRAlgorithmsInDiscrimination_09007dcc8053be46.html