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, 2017-07-21, Honolulu, USA. doi: 10.1109/CVPRW.2017.202.
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Abstract
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/ | ||||||||||||
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| Document Type: | Conference or Workshop Item (Speech, Poster) | ||||||||||||
| Title: | Earth observation using SAR and social media images | ||||||||||||
| Authors: |
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| Date: | 2017 | ||||||||||||
| 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 SCOPUS: | No | ||||||||||||
| In ISI Web of Science: | No | ||||||||||||
| DOI: | 10.1109/CVPRW.2017.202 | ||||||||||||
| Page Range: | pp. 95-103 | ||||||||||||
| Publisher: | IEEE Xplore | ||||||||||||
| Status: | Published | ||||||||||||
| 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 Date: | 21 July 2017 | ||||||||||||
| Organizer: | IEEE/ISPRS | ||||||||||||
| 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: | 24 Apr 2024 20:18 |
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