Babu, Arun und Baumgartner, Stefan V. (2020) Road Surface Quality Assessment Using Polarimetric Airborne SAR. In: 2020 IEEE Radar Conference, RadarConf 2020. IEEE Radar Conference (RadarCon), 2020-09-21 - 2020-09-25, Florence, Italy. doi: 10.1109/RadarConf2043947.2020.9266588. ISBN 978-172818942-0. ISSN 1097-5659.
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Offizielle URL: https://ieeexplore.ieee.org/document/9266588
Kurzfassung
Since the road infrastructure is an important factor for the economy and safety, the continuous monitoring of the road condition is a necessity. Compared to the widely used costly, time consuming and labour-intensive road condition monitoring using measurement vehicles all over the country, the potential of SAR polarimetry to remotely monitor the road surface roughness, cracks and potholes are investigated in this study. The polarimetric analysis of fully polarimetric X-band F-SAR datasets acquired over the Kaufbeuren test site revealed that the anisotropy and coherency matrix (T3) elements are sensitive to the road surface roughness and can be used to retrieve the vertical surface roughness. The cross-polar sigma nought images show a considerable increase in their magnitude over the cracks and potholes on the road surface. The initial experimental results obtained from this study are discussed in this paper.
elib-URL des Eintrags: | https://elib.dlr.de/135506/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||
Titel: | Road Surface Quality Assessment Using Polarimetric Airborne SAR | ||||||||||||
Autoren: |
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Datum: | 2020 | ||||||||||||
Erschienen in: | 2020 IEEE Radar Conference, RadarConf 2020 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
DOI: | 10.1109/RadarConf2043947.2020.9266588 | ||||||||||||
ISSN: | 1097-5659 | ||||||||||||
ISBN: | 978-172818942-0 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | F-SAR, Polarimetry, Sigma nought, Road surface roughness, Anisotropy, Coherency matrix | ||||||||||||
Veranstaltungstitel: | IEEE Radar Conference (RadarCon) | ||||||||||||
Veranstaltungsort: | Florence, Italy | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 21 September 2020 | ||||||||||||
Veranstaltungsende: | 25 September 2020 | ||||||||||||
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 - D.MoVe (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Hochfrequenztechnik und Radarsysteme > Radarkonzepte | ||||||||||||
Hinterlegt von: | Babu, Arun | ||||||||||||
Hinterlegt am: | 20 Jul 2020 10:10 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:38 |
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