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.
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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/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Additional Information: | so2sat | ||||||||||||||||||||
| Title: | SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms | ||||||||||||||||||||
| Authors: |
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| 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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