Remote Sensing Applications and Decision Support

Automatic pavement layer identification with multichannel ground penetrating radar at traffic speed

[+] Author Affiliations
Hao Liu, Ming L. Wang

Northeastern University, Department of Civil and Environmental Engineering, 400 Snell, 360 Huntington Avenue, Boston, Massachusetts 02115, United States

Ralf Birken

StreetScan Inc., 151 South Bedford Street, Suite #2, Burlington, Massachusetts 01803, United States

J. Appl. Remote Sens. 10(4), 046023 (Dec 05, 2016). doi:10.1117/1.JRS.10.046023
History: Received July 6, 2016; Accepted November 14, 2016
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Abstract.  This paper develops an automatic method to identify pavement layer properties from ground penetrating radar (GPR) data collected at traffic speed. The GPR system is operated at a center frequency of 2 GHz with a penetration depth of 60 cm in common road materials. Features include the capability of collecting up to 1000  traces/s, a large dynamic range, and compacted packaging. Using a four-channel GPR system, a large amount of data are collected at traffic speed on urban roads for over 200 lane miles, providing a dense spatial coverage. The GPR data contain information about the pavement layer properties, including layer interface, dielectric constant, and layer thickness. Using cross correlation and Hilbert transform algorithms, the pavement layer properties are identified from the large GPR data sets automatically and efficiently. The method has been successfully demonstrated in engineering applications for the accurate estimation of the layer thickness with excellent repeatability. Moreover, thickness data from different radar channels at the same location are used for transversal profile prediction. By searching abnormal variations of layer properties and amplitude of reflection signals, features and/or possible distresses in surface and subsurface, such as full-depth asphalt patches and prepothole conditions, can be detected.

© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Hao Liu ; Ralf Birken and Ming L. Wang
"Automatic pavement layer identification with multichannel ground penetrating radar at traffic speed", J. Appl. Remote Sens. 10(4), 046023 (Dec 05, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.046023


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