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| Home > Publications database > Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection |
| Journal Article | PreJuSER-59096 |
; ; ;
2007
IEEE
New York, NY
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Please use a persistent id in citations: doi:10.1109/TGRS.2006.888136
Abstract: The detection of antipersonnel landmines using ground-penetrating radar (GPR) is particularly hindered by the predominant soil surface and antenna reflections. In this paper, we propose a novel approach to filter out these effects from 2-D off-ground monostatic GPR data by adapting and combining the radar antenna subsurface model of Lambot et al. with phase-shift migration. First, the antenna multiple reflections originating from the antenna itself and from the interaction between the antenna and the ground are removed using linear transfer functions. Second, a simulated Green's function accounting for the surface reflection is subtracted. The Green's function is derived from the estimated soil surface dielectric permittivity using full-wave inversion of the radar signal for a measurement taken in a local landmine-free area. Third, off-ground phase-shift migration is performed on the 2-D data to filter the effect of the antenna radiation pattern. We validate the approach in laboratory conditions for four differently detectable landmines embedded in a sandy soil. Compared to traditional background subtraction, this new filtering method permits a better differentiation of the landmine and estimation of its depth and geometrical properties. This is particularly beneficial for the detection of landmines in low-contrast conditions.
Keyword(s): J ; clutter reduction (auto) ; ground-penetrating radar (GPR) (auto) ; inverse modeling (auto) ; landmine detection (auto) ; phase-shift migration (auto)
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