Shi, Yilei and Wang, Yuanyuan and Kang, Jian and Lachaise, Marie and Zhu, Xiao Xiang and Bamler, Richard (2018) 3D reconstruction from very small TanDEM-X stacks. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 257-260. EUSAR 2018, 2018-06-04 - 2018-06-07, Aachen, Germany.
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Official URL: http://conference.vde.com/eusar/2018/Pages/default.aspx
Abstract
Multibaseline synthetic aperture radar (SAR) interferometric techniques, such as SAR tomography, is well established for 3D reconstruction in urban area. These methods usually require a fairly large interferometric stacks (>20 images) for a reliable reconstruction. They are not directly applicable to SAR interferometric (InSAR) stack with only few acquisitions, as the extreme small number of acquisitions can severely bias the estimates from the spectral estimators, such as periodogram which is often only asymptotically optimal. In additional, the number of images also causes sever ambiguity issue of pixel with low signal-to-noise ratio. This paper demonstrates a new processing framework of 3D reconstruction using extremely small stacks.
Item URL in elib: | https://elib.dlr.de/120607/ | ||||||||||||||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||||||||||
Title: | 3D reconstruction from very small TanDEM-X stacks | ||||||||||||||||||||||||||||
Authors: |
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Date: | June 2018 | ||||||||||||||||||||||||||||
Journal or Publication Title: | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR | ||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||
Open Access: | No | ||||||||||||||||||||||||||||
Gold Open Access: | No | ||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||||||||||||||
Page Range: | pp. 257-260 | ||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||
Keywords: | 3D, TanDEM-X, tomography, small stack, global processing, urban area, DEM | ||||||||||||||||||||||||||||
Event Title: | EUSAR 2018 | ||||||||||||||||||||||||||||
Event Location: | Aachen, Germany | ||||||||||||||||||||||||||||
Event Type: | international Conference | ||||||||||||||||||||||||||||
Event Start Date: | 4 June 2018 | ||||||||||||||||||||||||||||
Event End Date: | 7 June 2018 | ||||||||||||||||||||||||||||
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 > EO Data Science Remote Sensing Technology Institute > Leitungsbereich MF Remote Sensing Technology Institute > SAR Signal Processing | ||||||||||||||||||||||||||||
Deposited By: | Wang, Yuanyuan | ||||||||||||||||||||||||||||
Deposited On: | 25 Jun 2018 15:06 | ||||||||||||||||||||||||||||
Last Modified: | 24 Apr 2024 20:24 |
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