Wang, Yuanyuan und Kang, Jian und Zhu, Xiao Xiang (2018) Fusion of SAR interferometry and social media images for 4D urban modeling. In: 2018 21st international conference on information fusion, Seiten 1601-1606. FUSION 2018, 10.-13. Juli 2018, Cambridge, UK.
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Offizielle URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8455498
Kurzfassung
Obtaining city models in a large scale is usually achieved by means of remote sensing techniques, such as synthetic aperture radar (SAR) interferometry and optical image stereogrammetry. Despite the controlled quality of these products, such observation is restricted by the characteristics of their sensor platform, such as revisit time and spatial resolution. Over the last decade, the rapid development of social media has accumulated vast amount of freely available online images. Despite their uncontrolled quality, these images constitute a set of redundant spatial-temporal observations of our dynamic 3D urban environment. These images contain useful information that can complement the remote sensing data, especially the SAR images. This paper presents a preliminary study of fusing social media and SAR images, for the reconstruction of spatial-temporal (hence 4D) city models. We describe a general approach to geometrically combine the information of these two types of images that are nearly impossible to even coregister without a precise 3D city model due to their distinct imaging geometry. It is demonstrated that, one can obtain a new kind of city model that includes high resolution optical texture for better scene understanding and the dynamics of individual buildings up to the precision of millimeter retrieved from SAR interferometry.
elib-URL des Eintrags: | https://elib.dlr.de/124190/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Zusätzliche Informationen: | so2sat | ||||||||||||||||
Titel: | Fusion of SAR interferometry and social media images for 4D urban modeling | ||||||||||||||||
Autoren: |
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Datum: | Juni 2018 | ||||||||||||||||
Erschienen in: | 2018 21st international conference on information fusion | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Seitenbereich: | Seiten 1601-1606 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | SAR, TomoSAR, structure from motion, optical images, 3D, 4D, urban model, fusion | ||||||||||||||||
Veranstaltungstitel: | FUSION 2018 | ||||||||||||||||
Veranstaltungsort: | Cambridge, UK | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsdatum: | 10.-13. Juli 2018 | ||||||||||||||||
Veranstalter : | University of Cambridge | ||||||||||||||||
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 | ||||||||||||||||
Hinterlegt von: | Wang, Yuanyuan | ||||||||||||||||
Hinterlegt am: | 05 Dez 2018 12:52 | ||||||||||||||||
Letzte Änderung: | 20 Jun 2021 15:51 |
Verfügbare Versionen dieses Eintrags
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Fusion of SAR interferometry and social media images for 4D urban modeling. (deposited 24 Mai 2018 12:01)
- Fusion of SAR interferometry and social media images for 4D urban modeling. (deposited 05 Dez 2018 12:52) [Gegenwärtig angezeigt]
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