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Earth observation using SAR and social media images

Wang, Yuanyuan and Zhu, Xiao Xiang (2017) Earth observation using SAR and social media images. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 95-103. IEEE Xplore. CVPR 2017 EarthVision Workshop, 21. July 2017, Honolulu, USA.

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Official URL: https://www.semanticscholar.org/paper/Earth-Observation-Using-SAR-and-Social-Media-Image-/cddd758e6b542d08ba46155b03a1257f292b178c


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.

Item URL in elib:https://elib.dlr.de/113971/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Earth observation using SAR and social media images
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wang, YuanyuantumUNSPECIFIED
Zhu, Xiao Xiangdlr-imf/tum-lmfUNSPECIFIED
Journal or Publication Title:2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 95-103
Publisher:IEEE Xplore
Keywords:social media, SAR, InSAR, 3-D model, deformation, structure from motion, TomoSAR
Event Title:CVPR 2017 EarthVision Workshop
Event Location:Honolulu, USA
Event Type:international Conference
Event Dates:21. July 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Wang, Yuanyuan
Deposited On:12 Sep 2017 12:54
Last Modified:31 Jul 2019 20:11

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