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Non-local SAR tomography for large-scale urban mapping

Shi, Yilei and Wang, Yuanyuan and Zhu, Xiao Xiang and Bamler, Richard (2019) Non-local SAR tomography for large-scale urban mapping. In: 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE. IGARSS 2019, 28. Juli - 02. Aug. 2019, Yokohama, Japan. DOI: 10.1109/IGARSS.2019.8897890 ISBN 978-1-5386-9154-0 ISSN 2153-7003

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Official URL: https://igarss2019.org/

Abstract

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. Hence, they are usually not directly applicable for large-scale 3-D urban mapping using TanDEM-X data where only a few acquisitions are available in average for each city. This work proposes a new SAR tomographic processing framework to those extremely small stacks. The applicability of the algorithm is demonstrated using a TanDEM-X multi-baseline stack with five bistatic interferograms over the whole city of Munich, Germany. Systematic comparison of our result with TanDEM-X raw digital elevation models (DEM) and airborne LiDAR data shows that the relative height accuracy is two meters, which outperforms the TanDEM-X raw DEM. The promising performance of the proposed algorithm paved the first step towards high quality large-scale 3-D urban mapping.

Item URL in elib:https://elib.dlr.de/130831/
Document Type:Conference or Workshop Item (Speech)
Additional Information:so2sat
Title:Non-local SAR tomography for large-scale urban mapping
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Shi, YileiTU-MünchenUNSPECIFIED
Wang, Yuanyuantumhttps://orcid.org/0000-0002-0586-9413
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Bamler, RichardRichard.Bamler (at) dlr.deUNSPECIFIED
Date:9 January 2019
Journal or Publication Title:2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2019.8897890
Page Range:pp. 1-4
Publisher:IEEE
ISSN:2153-7003
ISBN:978-1-5386-9154-0
Status:Published
Keywords:TomoSAR, Non-Local filtering, Robust estimator
Event Title:IGARSS 2019
Event Location:Yokohama, Japan
Event Type:international Conference
Event Dates:28. Juli - 02. Aug. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
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 12:09
Last Modified:21 Nov 2019 12:09

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