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18 May 2006 Improving spectral features from GPR by exploring the depth information
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Spectral features generated from GPR measurements have proven to be effective for the discrimination between landmine and clutter objects. Spectral features are extracted from the energy density spectrum estimated from the GPR data at an alarm location. The quality of the energy density spectrum is highly affected by the ground reflection. For deeply buried plastic landmines, the residual ground response can degrade the energy density spectrum significantly. This paper proposes the use of an estimated depth of the target to improve the estimation of its energy density spectrum, for the purpose of increasing the performance in the detection of deeply buried landmines as well as the discrimination between landmines and clutter objects.
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K. C. Ho, P. D. Gader, and J. N. Wilson "Improving spectral features from GPR by exploring the depth information", Proc. SPIE 6217, Detection and Remediation Technologies for Mines and Minelike Targets XI, 62172O (18 May 2006);

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