Ground Penetrating Radar (GPR) has been applied for several years to the problem of detecting both anti-personnel and
anti-tank landmines. One major challenge for reliable mine detection using GPR is removing the response from the
ground. When the ground is flat this is a straightforward process. For the NIITEK GPR, the flat ground will show up as
one of the largest responses and will be consistent across all the channels, making the surface simple to detect and
remove. Typically, the largest responses from each channel, assumed to be the surface, are aligned in range and then
zeroed out. When the ground is not flat, the response from the ground becomes more complicated making it no longer
possible to just assume the largest response is from the ground. Also, certain soil surface features can create responses
that look very similar to those of mines. To further complicate the ground removal process, the motion of the GPR
antenna is not measured, making it impossible to determine if the ground or antenna is moving from just the GPR data.
To address surface clutter issues arising from uneven ground, NVESD investigated profiling the soil surface with a
LIDAR. The motion of both the LIDAR and GPR was tracked so the relative locations could be determined. Using the
LIDAR soil surface profile, GPR data was modeled using a simplified version of the Physical Optics model. This
modeled data could then be subtracted from the measured GPR data, leaving the response without the soil surface.
In this paper we present a description and results from an experiment conducted with a NIITEK GPR and LIDAR over
surface features and buried landmines. A description of the model used to generate the GPR response from the soil and
the algorithm that was used to subtract the two provided. Mine detection performances using both GPR only and GPR
with LIDAR algorithms are compared.