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Road Surface Roughness Estimation With Spaceborne Synthetic Aperture Radar (SAR)

Gerber, Dominik (2022) Road Surface Roughness Estimation With Spaceborne Synthetic Aperture Radar (SAR). Master's, Hochschule Kempten.

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Road surface roughness is a crucial factor in road traffic safety. It has a direct connection to the grip and skid resistance of vehicles, which influences their acceleration, maneuverability and braking behavior. Therefore, the quality of road roughness must be checked regularly to ensure that the values are within the acceptable range. Until now, road monitoring in Germany has been carried out by measuring vehicles that drive over the highways approximately once in every 4 years. However, this procedure is costly and requires a lot of time and personnel. The German Aerospace Center (DLR) has proved that high resolution airborne X-band synthetic aperture radar (SAR) datasets can be used to estimate the road surface roughness over a wide scale. But, the area that can be covered by an airborne SAR system is still limited. This limitation can be solved by the use of spaceborne SAR. In the scope of this master thesis, the potential to estimate the road surface roughness using the high-resolution X-band SAR datasets acquired by the TerraSAR X radar satellite of Germany was evaluated. The semi-empirical surface roughness estimation model developed at DLR for the airborne SAR was used as a foundation for this study. However, compared to the airborne SAR, the distances to the ground are tremendous in the spaceborne SAR case and thus the model was adapted. In addition to modifying the surface roughness model, this study also tested whether the results are credible, as the spaceborne SAR data has more noise, while only a low signal is received from the roads. The surface roughness results estimated using the spaceborne SAR datasets showed a good agreement with the airborne SAR based results and also with the ground truth surface roughness data. For the end user, KML files were generated to visualize the surface roughness images in Google Earth. The results may serve for future research in spaceborne SAR based surface roughness estimation with different settings and from different platforms.

Item URL in elib:https://elib.dlr.de/186609/
Document Type:Thesis (Master's)
Title:Road Surface Roughness Estimation With Spaceborne Synthetic Aperture Radar (SAR)
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:21 December 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, Road Roughness, TerraSAR-X
Institution:Hochschule Kempten
Department:Fakultät Informatik
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: Gerber, Dominik
Deposited On:04 Nov 2022 17:48
Last Modified:20 Dec 2022 13:20

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