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Kang, Jian and Wang, Yuanyuan and Körner, Marco and Zhu, Xiao Xiang (2016) Object-based InSAR deformation reconstruction with application to bridge monitoring. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6871-6874. IEEE Xplore. IGARSS 2016, 10.-15. Juli 2016, Beijing, China. doi: 10.1109/IGARSS.2016.7730793. ISBN 978-1-5090-3332-4. ISSN 2153-7003.
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Official URL: http://ieeexplore.ieee.org/document/7730793/
Abstract
Deformation monitoring by multipass synthetic aperture radar (SAR) interferometry is widely recognized as the only method to assess millimeter-level deformation over a large area from space. Recently, it is demonstrated that urban infrastructures can be monitored in a semantic level in SAR interferometry (InSAR) by fusing the InSAR point cloud with the classification labels derived from optical images [1], [2]. This paper proposes an algorithm for object-level joint InSAR deformation reconstruction using these classification labels. We derived an object-based multi-baseline InSAR reconstruction model, and proposed an efficient algorithm for bridge detection in optical images.
| Item URL in elib: | https://elib.dlr.de/108467/ | |||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | |||||||||||||||
| Title: | Object-based InSAR deformation reconstruction with application to bridge monitoring | |||||||||||||||
| Authors: |
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| Date: | November 2016 | |||||||||||||||
| Journal or Publication Title: | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | |||||||||||||||
| Refereed publication: | No | |||||||||||||||
| Open Access: | Yes | |||||||||||||||
| Gold Open Access: | No | |||||||||||||||
| In SCOPUS: | No | |||||||||||||||
| In ISI Web of Science: | No | |||||||||||||||
| DOI : | 10.1109/IGARSS.2016.7730793 | |||||||||||||||
| Page Range: | pp. 6871-6874 | |||||||||||||||
| Publisher: | IEEE Xplore | |||||||||||||||
| ISSN: | 2153-7003 | |||||||||||||||
| ISBN: | 978-1-5090-3332-4 | |||||||||||||||
| Status: | Published | |||||||||||||||
| Keywords: | Object-based, deformation, inversion, InSAR, bridge, monitoring | |||||||||||||||
| Event Title: | IGARSS 2016 | |||||||||||||||
| Event Location: | Beijing, China | |||||||||||||||
| Event Type: | international Conference | |||||||||||||||
| Event Dates: | 10.-15. Juli 2016 | |||||||||||||||
| Organizer: | IEEE GRSS | |||||||||||||||
| 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: | 29 Nov 2016 15:56 | |||||||||||||||
| Last Modified: | 31 Jul 2019 20:05 |
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