Comparison of Imaging Radar Configurations for Roadway Inspection and Characterization

Author:

Wu Mengda12ORCID,Ferro-Famil Laurent23,Boutet Frederic1,Wang Yide4ORCID

Affiliation:

1. IETR (Institut d’Électronique et des Technologies du numéRique), UMR CNRS 6164, University of Rennes, 35000 Rennes, France

2. ISAE-SUPAERO (Institut Supérieur de l’Aéronautique et de l’Espace), University of Toulouse, 31400 Toulouse, France

3. CESBIO (Centre d’Etudes Spatiales de la Biosphère), University of Toulouse, 31400 Toulouse, France

4. IETR (Institut d’Électronique et des Technologies du numéRique), UMR CNRS 6164, Nantes Université, F-44000 Nantes, France

Abstract

This paper investigates the performance of a wide variety of radar imaging modes, such as nadir-looking B-scan, or side-looking synthetic aperture radar tomographic acquisitions, performed in both back- and forward-scattering geometries, for the inspection and characterization of roadways. Nadir-looking B-scan corresponds to a low-complexity mode exploiting the direct return from the response, whereas side-looking configurations allow the utilization of angular and polarimetric diversity in order to analyze advanced features. The main objective of this paper is to evaluate the ability of each configuration, independently of aspects related to operational implementation, to discriminate and localize shallow underground defects in the wearing course of roadways, and to estimate key geophysical parameters, such as roughness and dielectric permittivity. Campaign measurements are conducted using short-range radar stepped-frequency continuous-waveform (SFCW) devices operated in the C and X bands, at the pavement fatigue carousel of Université Gustave Eiffel, over debonded areas with artificial defects. The results indicate the great potential of the newly proposed forward-scattering tomographic configuration for detecting slight defects and characterizing roadways. Case studies, performed in the presence of narrow horizontal heterogeneities which cannot be detected using classical B-scan, show that both the coherent integration along an aperture using the back-projection algorithm, and the exploitation of scattering mechanisms specific to the forward-looking bistatic geometry, allows anomalous echoes to be detected and further characterized, confirming the efficacy of radar imaging techniques in such applications.

Funder

French Research Agency

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference35 articles.

1. Barriera, M., Pouget, S., Lebental, B., and Van Rompu, J. (2020). In situ pavement monitoring: A review. Infrastructures, 5.

2. (2020). Livre Blance. Entretenir et Préserver Le Patrimoine d’infrastructures de Transport: Une Exigence Pour La France. IDRRIM.

3. Solla, M., Pérez-Gracia, V., and Fontul, S. (2021). A Review of GPR Application on Transport Infrastructures: Troubleshooting and Best Practices. Remote Sens., 13.

4. Jol, H.M. (2008). Ground Penetrating Radar Theory and Applications, Elsevier.

5. Condition assessment of transportation infrastructure using ground-penetrating radar;Maser;J. Infrastruct. Syst.,1996

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pavement Inspection and Characterization Using a Constant Offset Sliding Bistatic GB-SAR System and High-Resolution Imaging Techniques;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Alpine Snowpack Permittivity Retrieval in Forward-Looking Bistatic Radar (Bizona) Configuration;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3