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SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms

Shi, Yilei and Bamler, Richard and Wang, Yuanyuan and Zhu, Xiao Xiang (2020) SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 58 (11), pp. 8026-8037. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2020.2986052. ISSN 0196-2892.

[img] PDF - Postprint version (accepted manuscript)
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Official URL: https://ieeexplore.ieee.org/document/9085914

Abstract

Multibaseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausible reconstruction, it is necessary to use more than 20 interferograms. Hence, these methods are commonly not appropriate for large-scale 3-D urban mapping using TanDEM-X data, where only a few acquisitions are available in average for each city. This article proposes a new SAR tomographic processing framework to work with those extremely small stacks, which integrates the nonlocal filtering into SAR tomography inversion. The applicability of the algorithm is demonstrated using a TanDEM-X multibaseline stack with five bistatic interferograms over the whole city of Munich, Germany. A systematic comparison of our result with TanDEM-X raw digital elevation models (DEMs) and airborne LiDAR data shows that the relative height accuracy of two-third buildings is within 2 m, which outperforms the TanDEM-X raw DEM. The promising performance of the proposed algorithm paved the first step toward high-quality large-scale 3-D urban mapping.

Item URL in elib:https://elib.dlr.de/134837/
Document Type:Article
Additional Information:so2sat
Title:SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Shi, YileiTU-MünchenUNSPECIFIEDUNSPECIFIED
Bamler, RichardDLR-IMF/TUM-LMFUNSPECIFIEDUNSPECIFIED
Wang, YuanyuanTUMhttps://orcid.org/0000-0002-0586-9413UNSPECIFIED
Zhu, Xiao XiangTUM,DLRUNSPECIFIEDUNSPECIFIED
Date:4 May 2020
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:58
DOI:10.1109/TGRS.2020.2986052
Page Range:pp. 8026-8037
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:3-D urban mapping, digital elevation models (DEMs), interferometric synthetic aperture radar (InSAR), SAR tomography (TomoSAR), TanDEM-X.
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:12 May 2020 13:42
Last Modified:24 Oct 2023 13:46

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