Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging

Salucci, M. and Poli, L. and Anselmi, N. and Massa, Andrea (2017) Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging. Technical Report. ELEDIA Research Center - University of Trento.

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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.

Item Type: Monograph (Technical Report)
Uncontrolled 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)
Subjects: A Areas > A WC Next Generation Wireless Communications
M Methodologies > M EA Evolutionary Algorithms
URI: http://www.eledia.org/students-reports/id/eprint/739

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