Shi, Yilei und Wang, Yuanyuan und Zhu, Xiao Xiang und Bamler, Richard (2019) Non-local SAR tomography for large-scale urban mapping. In: 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 1-4. IEEE. IGARSS 2019, 2019-07-28 - 2019-08-02, Yokohama, Japan. doi: 10.1109/IGARSS.2019.8897890. ISBN 978-1-5386-9154-0. ISSN 2153-7003.
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Offizielle URL: https://igarss2019.org/
Kurzfassung
Multi-baseline synthetic aperture radar (SAR) interferometric techniques, such as SAR tomography, is well established for 3-D reconstruction in the urban area. These methods usually require fairly large interferometric stacks (> 20 images) for a reliable reconstruction. Hence, they are usually not directly applicable for large-scale 3-D urban mapping using TanDEM-X data where only a few acquisitions are available in average for each city. This work proposes a new SAR tomographic processing framework to those extremely small stacks. The applicability of the algorithm is demonstrated using a TanDEM-X multi-baseline stack with five bistatic interferograms over the whole city of Munich, Germany. Systematic comparison of our result with TanDEM-X raw digital elevation models (DEM) and airborne LiDAR data shows that the relative height accuracy is two meters, which outperforms the TanDEM-X raw DEM. The promising performance of the proposed algorithm paved the first step towards high quality large-scale 3-D urban mapping.
elib-URL des Eintrags: | https://elib.dlr.de/130831/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Zusätzliche Informationen: | so2sat | ||||||||||||||||||||
Titel: | Non-local SAR tomography for large-scale urban mapping | ||||||||||||||||||||
Autoren: |
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Datum: | 9 Januar 2019 | ||||||||||||||||||||
Erschienen in: | 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.1109/IGARSS.2019.8897890 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-4 | ||||||||||||||||||||
Verlag: | IEEE | ||||||||||||||||||||
ISSN: | 2153-7003 | ||||||||||||||||||||
ISBN: | 978-1-5386-9154-0 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | TomoSAR, Non-Local filtering, Robust estimator | ||||||||||||||||||||
Veranstaltungstitel: | IGARSS 2019 | ||||||||||||||||||||
Veranstaltungsort: | Yokohama, Japan | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 28 Juli 2019 | ||||||||||||||||||||
Veranstaltungsende: | 2 August 2019 | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben hochauflösende Fernerkundungsverfahren (alt) | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science Institut für Methodik der Fernerkundung > Leitungsbereich MF | ||||||||||||||||||||
Hinterlegt von: | Wang, Yuanyuan | ||||||||||||||||||||
Hinterlegt am: | 21 Nov 2019 12:09 | ||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:34 |
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