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Automated data extraction from synthetic and real radargrams of complex structures

Abstract

This paper presents a comparative study of two algorithms for detecting and analyzing the characteristic shapes of reflection obtained as a result of Ground-Penetrating Radar (GPR) scanning technology. The first algorithm is a sub-array processing method that uses direction-of-arrival algorithms and the matched filter technique; this approach is implemented in SPOT-GPR (release 1.0), a new freeware tool for the detection and localization of targets in radargrams. The second algorithm, APEX, is based on machine learning and pattern recognition techniques and it allows finding the coordinates of apexes and further characteristic points of hyperbolas in radargrams. Both software solutions are implemented in MATLAB environment. As a first step, we compare the accuracy of our algorithms when applied to synthetic data, calculated by using the open-source finite-difference time-domain simulator gprMax; the scenarios are two concrete cells hosting different metallic and dielectric targets. Then, we compare the accuracy of our algorithms when applied to experimental data, recorded over district heating pipes in a trench, with known geometry and depth of the pipes. For the latter scenario, we have also generated a gprMax radargram, matching the geometry and scanning settings of the real one; both algorithms are tested on this synthetic radargram, as well. Overall, both algorithms perform well and rather uniformly in localizing the targets. The accuracy of the algorithms is at centimeter level, which is sufficient in most applications.


ISSN: 1083-1363
EISSN: 1943-2658
Serial Title: Journal of Environmental & Engineering Geophysics
Serial Volume: 23
Serial Issue: 4
Title: Automated data extraction from synthetic and real radargrams of complex structures
Title: 9 (super th) international workshop on Advanced ground penetrating radar (IWAGPR2017)
Author(s): Bugarinovic, ZeljkoMeschino, SimoneVrtunski, MilanPajewski, LaraRistic, AleksandarDerobert, XavierGovedarica, Miro
Author(s): Giannopoulos, Antoniseditor
Author(s): Diamanti, Nectariaeditor
Author(s): Warren, Craigeditor
Affiliation: University of Novi Sad, Department of Computing and Control Engineering, Novi Sad, Serbia
Affiliation: University of Edinburgh, Edinburgh, United Kingdom
Pages: 407-421
Published: 201812
Text Language: English
Publisher: Environmental and Engineering Geophysical Society, Englewood, CO, United States
Meeting name: 9 (super th) international workshop on Advanced ground penetrating radar (IWAGPR2017)
Meeting location: Edinburgh, GBR, United Kingdom
Meeting date: 20170628June 28-30, 2017
References: 53
Accession Number: 2019-005345
Categories: Engineering geologyApplied geophysics
Document Type: Serial Conference document
Bibliographic Level: Analytic
Illustration Description: illus. incl. 3 tables, sects.
Secondary Affiliation: Airbus Defence and Space, DEU, GermanySapienza University of Rome, ITA, ItalyUniversite Nantes Angers Le Mans, FRA, France
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2019, American Geosciences Institute. Abstract, copyright, Environmental & Engineering Geophysical Society. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 2019
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