Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry

In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented. The coherence of the single-look complex (SLC) images and residuals of interferogram provide a powerful guarantee for interfer...

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Main Authors: Lixiang Ma, Yue Wang, Qingjun Zhang, Yu Zhu, Yue Zhang, Mingming Bian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8697109/
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author Lixiang Ma
Yue Wang
Qingjun Zhang
Yu Zhu
Yue Zhang
Mingming Bian
author_facet Lixiang Ma
Yue Wang
Qingjun Zhang
Yu Zhu
Yue Zhang
Mingming Bian
author_sort Lixiang Ma
collection DOAJ
description In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented. The coherence of the single-look complex (SLC) images and residuals of interferogram provide a powerful guarantee for interferometric processing for Gaofen-3. Baseline estimation is the key factor to generate accurate DEM with SAR interferometry. This paper uses the coarse orbit data and the precise orbit data of Gaofen-3 to carry on the baseline estimation and uses the prior coarse DEM information to refine the baseline estimation. Then, the topographic height is reconstructed with more precise spatial baseline. An experiment is conducted to verify the conclusion, and some mountain and flatten region are chosen as the study area. The results show that the DEM errors based on the prior DEM method are rapidly converged compared with the ones based on the orbit data method. Therefore, benefiting from the precise orbit data of the Gaofen-3 satellite, the accuracy of the baseline estimation can be improved further by using the method based on prior DEM information; thus, higher accuracy of DEM can be achieved so that Gaofen-3 repeat-pass data have some good characteristics, such as high imaging quality, stable spatial baseline, and high correlation, which has a good repeat-pass SAR interferometry application prospect.
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spelling doaj.art-53ef6b631896453b9678d861a92779e02022-12-21T18:11:12ZengIEEEIEEE Access2169-35362019-01-017532255323510.1109/ACCESS.2019.29128808697109Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR InterferometryLixiang Ma0https://orcid.org/0000-0002-5572-4896Yue Wang1Qingjun Zhang2Yu Zhu3Yue Zhang4Mingming Bian5Department of Spacebone Microwave Radar Research and Technology, Beijing Institute of Spacecraft System Engineering, Beijing, ChinaPower System Department, China Electric Power Research Institute, Beijing, ChinaDepartment of Spacebone Microwave Radar Research and Technology, Beijing Institute of Spacecraft System Engineering, Beijing, ChinaDepartment of Spacebone Microwave Radar Research and Technology, Beijing Institute of Spacecraft System Engineering, Beijing, ChinaDepartment of Spacebone Microwave Radar Research and Technology, Beijing Institute of Spacecraft System Engineering, Beijing, ChinaDepartment of Spacebone Microwave Radar Research and Technology, Beijing Institute of Spacecraft System Engineering, Beijing, ChinaIn this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented. The coherence of the single-look complex (SLC) images and residuals of interferogram provide a powerful guarantee for interferometric processing for Gaofen-3. Baseline estimation is the key factor to generate accurate DEM with SAR interferometry. This paper uses the coarse orbit data and the precise orbit data of Gaofen-3 to carry on the baseline estimation and uses the prior coarse DEM information to refine the baseline estimation. Then, the topographic height is reconstructed with more precise spatial baseline. An experiment is conducted to verify the conclusion, and some mountain and flatten region are chosen as the study area. The results show that the DEM errors based on the prior DEM method are rapidly converged compared with the ones based on the orbit data method. Therefore, benefiting from the precise orbit data of the Gaofen-3 satellite, the accuracy of the baseline estimation can be improved further by using the method based on prior DEM information; thus, higher accuracy of DEM can be achieved so that Gaofen-3 repeat-pass data have some good characteristics, such as high imaging quality, stable spatial baseline, and high correlation, which has a good repeat-pass SAR interferometry application prospect.https://ieeexplore.ieee.org/document/8697109/Synthetic aperture radar (SAR) interferometryDEMorbit databaseline estimation
spellingShingle Lixiang Ma
Yue Wang
Qingjun Zhang
Yu Zhu
Yue Zhang
Mingming Bian
Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
IEEE Access
Synthetic aperture radar (SAR) interferometry
DEM
orbit data
baseline estimation
title Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
title_full Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
title_fullStr Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
title_full_unstemmed Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
title_short Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry
title_sort baseline estimation using dem prior knowledge and capability analysis for gaofen 3 repeat pass sar interferometry
topic Synthetic aperture radar (SAR) interferometry
DEM
orbit data
baseline estimation
url https://ieeexplore.ieee.org/document/8697109/
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AT qingjunzhang baselineestimationusingdempriorknowledgeandcapabilityanalysisforgaofen3repeatpasssarinterferometry
AT yuzhu baselineestimationusingdempriorknowledgeandcapabilityanalysisforgaofen3repeatpasssarinterferometry
AT yuezhang baselineestimationusingdempriorknowledgeandcapabilityanalysisforgaofen3repeatpasssarinterferometry
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