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Road Surface Roughness Estimation Using Spaceborne Synthetic Aperture Radar

Babu, Arun and Gerber, Dominik and Baumgartner, Stefan V. and Krieger, Gerhard (2023) Road Surface Roughness Estimation Using Spaceborne Synthetic Aperture Radar. IEEE Geoscience and Remote Sensing Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2023.3309944. ISSN 1545-598X.

[img] PDF - Postprint version (accepted manuscript)

Official URL: https://ieeexplore.ieee.org/document/10234409


Road surface roughness is a major factor that is responsible for the skid resistance of vehicles and, thus, road safety. Therefore, it needs to be monitored regularly to ensure that the roughness values are in the optimal range and to perform maintenance actions when needed. Synthetic aperture radar (SAR) backscatter is sensitive to surface roughness and can provide large-scale estimates of road surface roughness. In this letter, a semi-empirical model for estimating road surface roughness using high-resolution spaceborne X-band SAR datasets from Germany’s TerraSAR-X satellite is proposed for the first time. The method is capable of handling the low signal-to-noise ratio (SNR) of spaceborne SAR. To enhance the reliability of the results obtained from rather low SNR datasets, techniques such as SNR thresholding, multi-dataset fusion, and automatic road extraction were implemented. The study’s results show good agreement with ground truth data.

Item URL in elib:https://elib.dlr.de/196890/
Document Type:Article
Title:Road Surface Roughness Estimation Using Spaceborne Synthetic Aperture Radar
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Babu, ArunUNSPECIFIEDhttps://orcid.org/0000-0002-3973-1666UNSPECIFIED
Baumgartner, Stefan V.UNSPECIFIEDhttps://orcid.org/0000-0002-8337-6825UNSPECIFIED
Krieger, GerhardUNSPECIFIEDhttps://orcid.org/0000-0002-4548-0285UNSPECIFIED
Date:30 August 2023
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:synthetic aperture radar, spaceborne radar, surface roughness, vehicle safety, signal-to-noise ratio
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > Radar Concepts
Deposited By: Babu, Arun
Deposited On:31 Aug 2023 17:04
Last Modified:28 Feb 2024 17:07

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