@techreport{elediasc12739,
       publisher = {ELEDIA Research Center - University of Trento},
            year = {2017},
            type = {Technical Report},
          author = {M.  Salucci and L.  Poli and N. Anselmi and Andrea Massa},
           title = {Multi?Resolution Processing of Multi?Frequency GPR Data for Robust Buried Object Imaging},
             url = {http://www.eledia.org/students-reports/739/},
        keywords = {Ground Penetrating Radar (GPR), Inverse Scattering (IS), Multi-Frequency (MF), Particle Swarm Optimization (PSO), Stochastic Optimization, Wide-band Data, Iterative Multi Scaling Approach (IMSA)},
        abstract = {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.}
}