%T Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging
%L elediasc12739
%A M.  Salucci
%A L.  Poli
%A N. Anselmi
%A Andrea Massa
%I ELEDIA Research Center - University of Trento
%X This work presents an innovative GPR microwave imaging technique aimed at
retrieving the electromagnetic properties of inaccessible domains buried below a
planar interface. The arising two‐dimensional (2‐D) inverse scattering problem is
solved taking into account for the wide‐band nature of GPR data by exploiting a
multi frequency (MF) solution approach. Moreover, a customized multiresolution
particle swarm optimizer (IMSA‐PSO) is exploited in order to minimize
the MF cost function by adaptively refining the image resolution only in the
identified regions of interest (RoIs). A set of numerical experiments is shown in
order to verify the effectiveness of the developed MF‐IMSA‐PSO technique when
the background permittivity is not exactly known. A comparative assessment
with respect to a deterministic local search‐based microwave imaging technique
is given, as well, to highlight the superior performances yielded by the
exploitation of the PSO solver.
%D 2017
%K Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency (MF), Particle Swarm Optimization (PSO), Stochastic Optimization, Wide-band Data, Iterative Multi Scaling Approach (IMSA)