TY  - RPRT
TI  - Multi?Resolution Processing of Multi?Frequency GPR Data for Robust Buried Object Imaging
UR  - http://www.eledia.org/students-reports/739/
Y1  - 2017///
M1  - technical_report
N2  - 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.
ID  - elediasc12739
A1  - Salucci, M. 
A1  - Poli, L. 
A1  - Anselmi, N.
A1  - Massa, Andrea
AV  - public
PB  - ELEDIA Research Center - University of Trento
KW  - Ground Penetrating Radar (GPR)
KW  -  Inverse Scattering (IS)
KW  -  Multi-Frequency (MF)
KW  -  Particle Swarm Optimization (PSO)
KW  -  Stochastic Optimization
KW  -  Wide-band Data
KW  -  Iterative Multi Scaling Approach (IMSA)
ER  -