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Approaches for Road Surface Roughness Estimation Using Airborne Polarimetric SAR

Babu, Arun and Baumgartner, Stefan V. and Krieger, Gerhard (2022) Approaches for Road Surface Roughness Estimation Using Airborne Polarimetric SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2022.3170073. ISSN 1939-1404.

[img] PDF - Postprint version (accepted manuscript)


The road surface roughness is an important parameter that determines the quality of a road network. It has a direct influence on the grip and skid resistance of the vehicles. For this reason, this parameter has to be periodically monitored to keep track of its changes. Nowadays, road surface roughness is measured by driving measurement vehicles equipped with laser scanners all over the country. But, this approach is very costly, labor-intensive, and time-consuming. This study is done to evaluate the potential of high-resolution airborne polarimetric synthetic aperture radar (SAR) to remotely estimate the road surface roughness on a wide scale. Different SAR backscatter-based semi-empirical models and SAR polarimetry-based models for surface roughness estimation are implemented in this study. Also, a new semi-empirical model is proposed in this study which is trained specifically for the road surface roughness estimation. Additive noise subtraction, upper sigma nought threshold masking, and lower signal-to-noise ratio (SNR) threshold masking techniques were implemented in this study to improve the reliability of road surface roughness estimation. The feasibility of this approach is tested using fully polarimetric X-band datasets acquired with DLRs airborne radar sensor F-SAR. The surface roughness results estimated using these airborne SAR datasets show good agreement with the ground truth surface roughness values and the results are discussed in this article.

Item URL in elib:https://elib.dlr.de/186244/
Document Type:Article
Title:Approaches for Road Surface Roughness Estimation Using Airborne Polarimetric SAR
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:26 April 2022
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Additive noise, anisotropy, coherency matrix, Dubois model, Oh model, Open Street Map (OSM), SAR, road surface roughness
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:02 May 2022 14:44
Last Modified:03 May 2022 15:19

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