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29 April 2008 Subspace processing of GPR signals for vehicle-mounted landmine detection system
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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.
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K. C. Ho, P. D. Gader, J. N. Wilson, and H. Frigui "Subspace processing of GPR signals for vehicle-mounted landmine detection system", Proc. SPIE 6953, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XIII, 69531D (29 April 2008); https://doi.org/10.1117/12.780303
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