%0 Report
%9 Technical Report
%A Salucci, M. 
%A Poli, L. 
%A Anselmi, N.
%A Massa, Andrea
%D 2017
%F elediasc12:739
%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)
%T Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging
%U http://www.eledia.org/students-reports/739/
%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.