TY  - JOUR
AU  - Lopera, O.
AU  - Slob, E. C.
AU  - Milisavljevic, N.
AU  - Lambot, S.
TI  - Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection
JO  - IEEE transactions on geoscience and remote sensing
VL  - 45
SN  - 0196-2892
CY  - New York, NY
PB  - IEEE
M1  - PreJuSER-59096
SP  - 707 - 717
PY  - 2007
N1  - Record converted from VDB: 12.11.2012
AB  - 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.
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000244545900017
DO  - DOI:10.1109/TGRS.2006.888136
UR  - https://juser.fz-juelich.de/record/59096
ER  -