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Proceedings Paper

Subspace processing of GPR signals for vehicle-mounted landmine detection system
Author(s): K. C. Ho; P. D. Gader; J. N. Wilson; H. Frigui
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Paper Abstract

This paper proposes the use of subspace approach to model the energy density spectra (EDS) of landmine targets, for the purpose to improve the detection of weak scattering landmines and their discrimination with clutter objects. The effectiveness of subspace technique to model the landmine EDS depends on the subspace selection. A slight modification of the eigenspace separation transform was applied to generate the subspace basis. In addition to the experimental results of performance improvement through subspace modeling, fusion performance with the Hidden Markov Model (HMM), the Edge Histogram Descriptor (EHD) and the NUKEv6 confidence values will be provided.

Paper Details

Date Published: 29 April 2008
PDF: 10 pages
Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69531D (29 April 2008); doi: 10.1117/12.780303
Show Author Affiliations
K. C. Ho, Univ. of Missouri, Columbia (United States)
P. D. Gader, Univ. of Florida (United States)
J. N. Wilson, Univ. of Florida (United States)
H. Frigui, Univ. of Louisville (United States)


Published in SPIE Proceedings Vol. 6953:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII
Russell S. Harmon; John H. Holloway; J. Thomas Broach, Editor(s)

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