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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Robust Multi-Frequency GPR Microwave Imaging through Multi-Scaling Particle Swarm Optimization.pdf Download (1MB) | Preview |
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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