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Babu, Arun und Baumgartner, Stefan V. und Krieger, Gerhard und Rischioni, Lucas Germano (2022) Estimation of Road Surface Roughness Using Airborne Synthetic Aperture Radar. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, Seiten 239-244. European Conference on Synthetic Aperture Radar (EUSAR), 2022-07-25 - 2022-07-28, Leipzig, Germany. ISBN 978-3-8007-5823-4. ISSN 2197-4403.
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Offizielle URL: https://ieeexplore.ieee.org/document/9944251
Kurzfassung
Since road surface roughness is an important factor for road safety, periodic monitoring of the road surface roughness is a necessity. Compared to the widely used costly, time-consuming and labour-intensive road surface roughness esti-mation using measurement vehicles all over the country, the potential of airborne polarimetric SAR to remotely estimate the road surface roughness is investigated in this study. The analysis of the airborne X-band polarimetric SAR datasets acquired by DLR’s F-SAR system over the Kaufbeuren and Braunschweig test sites revealed that the X-band airborne SAR datasets are sensitive to the road surface roughness. The road surface roughness results estimated using different models are discussed in this paper.
| elib-URL des Eintrags: | https://elib.dlr.de/148651/ | ||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
| Titel: | Estimation of Road Surface Roughness Using Airborne Synthetic Aperture Radar | ||||||||||||||||||||
| Autoren: |
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| Datum: | 2022 | ||||||||||||||||||||
| Erschienen in: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||
| Seitenbereich: | Seiten 239-244 | ||||||||||||||||||||
| ISSN: | 2197-4403 | ||||||||||||||||||||
| ISBN: | 978-3-8007-5823-4 | ||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||
| Stichwörter: | F-SAR, Sigma nought, Road surface roughness, Open street map, Machine learning | ||||||||||||||||||||
| Veranstaltungstitel: | European Conference on Synthetic Aperture Radar (EUSAR) | ||||||||||||||||||||
| Veranstaltungsort: | Leipzig, Germany | ||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
| Veranstaltungsbeginn: | 25 Juli 2022 | ||||||||||||||||||||
| Veranstaltungsende: | 28 Juli 2022 | ||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
| HGF - Programm: | Verkehr | ||||||||||||||||||||
| HGF - Programmthema: | Straßenverkehr | ||||||||||||||||||||
| DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||
| DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC | ||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte | ||||||||||||||||||||
| Hinterlegt von: | Babu, Arun | ||||||||||||||||||||
| Hinterlegt am: | 07 Feb 2022 07:59 | ||||||||||||||||||||
| Letzte Änderung: | 24 Apr 2024 20:46 |
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