%0 Journal Article
%A Lopera, O.
%A Slob, E. C.
%A Milisavljevic, N.
%A Lambot, S.
%T Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection
%J IEEE transactions on geoscience and remote sensing
%V 45
%@ 0196-2892
%C New York, NY
%I IEEE
%M PreJuSER-59096
%P 707 - 717
%D 2007
%Z Record converted from VDB: 12.11.2012
%X 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.
%K J (WoSType)
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000244545900017
%R 10.1109/TGRS.2006.888136
%U https://juser.fz-juelich.de/record/59096