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Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging
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.
ELEDIA Research Center - University of Trento
Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging (Text)
Robust Multi-Frequency GPR Microwave Imaging through Multi-Scaling Particle Swarm Optimization.pdf
Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging (Other)
HTML Summary of #739 Multi‐Resolution Processing of Multi‐Frequency GPR Data for Robust Buried Object Imaging
A WC Next Generation Wireless Communications
M EA Evolutionary Algorithms