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Large-scale urban mapping using small stack multi-baseline TanDEM-X interferograms

Shi, Yilei and Wang, Yuanyuan and Zhu, Xiao Xiang and Bamler, Richard (2019) Large-scale urban mapping using small stack multi-baseline TanDEM-X interferograms. In: 2019 Joint Urban Remote Sensing Event, JURSE 2019, pp. 1-4. IEEE. JURSE 2019, 2019-05-22 - 2019-05-24, Vannes, France. doi: 10.1109/JURSE.2019.8808986. ISBN 978-172810009-8. ISSN 2642-9535.

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Official URL: http://jurse2019.org/


Multi-baseline synthetic aperture radar (SAR) interferometric techniques, such as SAR tomography, is well established for 3-D reconstruction in the urban area. These methods usually require fairly large interferometric stacks (> 20 images) for a reliable reconstruction. They are not directly applicable to SAR interferometric (InSAR) stack with only a few acquisitions, as the extremely small number of acquisitions can severely bias the estimates from the spectral estimators, such as beamforming which is often only asymptotically optimal. In addition, the number of images also causes severe ambiguity issue of the pixel with low signal-to-noise ratio. In this work, we propose a new processing framework of 3-D reconstruction with TomoSAR using extremely small stacks. Moreover, the applicability of the algorithm is demonstrated by exploiting TanDEM-X co-registered phase preserving single look slant range complex SAR images (CoSSC) over a large-scale test site of the whole Munich city, Germany. The reconstructed results have been systematically compared with global production of TanDEM-X digital elevation models (DEM) and LiDAR dataset, which show the potential of high quality large-scale 3-D urban mapping.

Item URL in elib:https://elib.dlr.de/130832/
Document Type:Conference or Workshop Item (Speech, Poster)
Additional Information:so2sat
Title:Large-scale urban mapping using small stack multi-baseline TanDEM-X interferograms
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wang, Yuanyuantumhttps://orcid.org/0000-0002-0586-9413UNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDhttps://orcid.org/0000-0001-5530-3613UNSPECIFIED
Date:22 August 2019
Journal or Publication Title:2019 Joint Urban Remote Sensing Event, JURSE 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:SAR interferometric (InSAR), SAR tomography (TomoSAR), TanDEM-X, digital elevation models (DEM), 3-D urban mapping
Event Title:JURSE 2019
Event Location:Vannes, France
Event Type:international Conference
Event Start Date:22 May 2019
Event End Date:24 May 2019
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
Deposited By: Wang, Yuanyuan
Deposited On:21 Nov 2019 12:12
Last Modified:24 Apr 2024 20:34

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