Wang, Yuanyuan und Zhu, Xiao Xiang und Bamler, Richard und Gernhardt, Stefan (2013) Towards TerraSAR-X street view: creating city point cloud from multi-aspect data stacks. In: Urban Remote Sensing Event, 2013 Joint. IEEE. URBAN 2013 - URS 2013, 21 April - 23 April 2013, Sao Paulo, Brazil. (im Druck)
Es ist eine neuere Version dieses Eintrags verfügbar. |
PDF
- Nur DLR-intern zugänglich
1MB |
Kurzfassung
This article presents a recent updates of urban monitoring using TerraSAR-X data. We demonstrate a Google Street-View-like point cloud of the city of Berlin. To make such a point cloud, synthetic aperture radar (SAR) tomography is employed to process TerraSAR-X data stacks of different view angles around Berlin, obtaining 3D point cloud subsets from each of these data stacks. The density of one of these point clouds is around 1 million points / km2. These point cloud subsets are then fused to create a complete seamless one. Fuse tens of millions of points is a challenging task. Therefore, in this article, particular focus is put on the point cloud fusion. We introduce a feature-based unsupervised technique for point clouds fusion by detecting and matching building contour end points and aligning flat roofs in the two point clouds. The same idea can also be exploited as a general way to evaluate the fusion accuracy of different fusion techniques.
elib-URL des Eintrags: | https://elib.dlr.de/74194/ | ||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Konferenzbeitrag (Vortrag, Paper) | ||||||||||||||||||||
Titel: | Towards TerraSAR-X street view: creating city point cloud from multi-aspect data stacks | ||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||
Datum: | 2013 | ||||||||||||||||||||
Erschienen in: | Urban Remote Sensing Event, 2013 Joint | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
Verlag: | IEEE | ||||||||||||||||||||
Status: | im Druck | ||||||||||||||||||||
Stichwörter: | SAR tomography, point cloud fusion, TerraSAR-X, SAR | ||||||||||||||||||||
Veranstaltungstitel: | URBAN 2013 - URS 2013 | ||||||||||||||||||||
Veranstaltungsort: | Sao Paulo, Brazil | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsdatum: | 21 April - 23 April 2013 | ||||||||||||||||||||
Veranstalter : | INPE | ||||||||||||||||||||
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 > SAR-Signalverarbeitung | ||||||||||||||||||||
Hinterlegt von: | Wang, Yuanyuan | ||||||||||||||||||||
Hinterlegt am: | 05 Jul 2013 14:27 | ||||||||||||||||||||
Letzte Änderung: | 17 Dez 2013 08:56 |
Verfügbare Versionen dieses Eintrags
- Towards TerraSAR-X street view: creating city point cloud from multi-aspect data stacks. (deposited 05 Jul 2013 14:27) [Gegenwärtig angezeigt]
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags