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3D reconstruction from very small TanDEM-X stacks

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/
Document Type:Conference or Workshop Item (Speech)
Title:3D reconstruction from very small TanDEM-X stacks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shi, YileiTU-MünchenUNSPECIFIEDUNSPECIFIED
Wang, YuanyuanTUMUNSPECIFIEDUNSPECIFIED
Kang, JianTUMUNSPECIFIEDUNSPECIFIED
Lachaise, MarieUNSPECIFIEDhttps://orcid.org/0000-0002-1515-7540UNSPECIFIED
Zhu, Xiao XiangDLR-IMF/TUM-LMFUNSPECIFIEDUNSPECIFIED
Bamler, RichardDLR-IMF/TUM-LMFUNSPECIFIEDUNSPECIFIED
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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