Wang, Yuanyuan und Zhu, Xiao Xiang (2017) Earth observation using SAR and social media images. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Xplore. CVPR 2017 EarthVision Workshop, 21 July 2017, Honolulu, USA.
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Kurzfassung
Earth Observation (EO) is mostly carried out through centralized optical and synthetic aperture radar (SAR) missions. Despite the controlled quality of their products, such observation is restricted by the characteristics of the sensor platform, e.g. the revisit time. Over the last decade, the rapid development of social media has accumulated vast amount of online images. Despite their uncontrolled quality, the sheer volume may contain useful information that can complement the EO missions, especially the SAR missions. This paper presents a preliminary work of fusing social media and SAR images. They have distinct imaging geometries, which are nearly impossible to even coregister without a precise 3-D model. We describe a general approach to coregister them without using external 3-D model. We demonstrate that, one can obtain a new kind of 3-D city model that includes the optical texture for better scene understanding and the precise deformation retrieved from SAR interferometry.
elib-URL des Eintrags: | https://elib.dlr.de/112553/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||
Titel: | Earth observation using SAR and social media images | ||||||||||||
Autoren: |
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Datum: | 2017 | ||||||||||||
Erschienen in: | 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
Verlag: | IEEE Xplore | ||||||||||||
Status: | akzeptierter Beitrag | ||||||||||||
Stichwörter: | social media, SAR, InSAR, 3-D model, deformation, structure from motion, TomoSAR | ||||||||||||
Veranstaltungstitel: | CVPR 2017 EarthVision Workshop | ||||||||||||
Veranstaltungsort: | Honolulu, USA | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsdatum: | 21 July 2017 | ||||||||||||
Veranstalter : | IEEE/ISPRS | ||||||||||||
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: | 30 Mai 2017 16:15 | ||||||||||||
Letzte Änderung: | 31 Jul 2019 20:09 |
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- Earth observation using SAR and social media images. (deposited 30 Mai 2017 16:15) [Gegenwärtig angezeigt]
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