Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval
Atmospheric Phase Screen (APS) is a major noise that suppresses the accuracy of InSAR deformation time series products. Several correction methods have been developed to perform APS reduction in the InSAR analysis, in which an algorithm called Common Scene Stacking (CSS) method draws wide attention...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/22/5399 |
| _version_ | 1797457813529690112 |
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| author | Zhichao Zhang Wanpeng Feng Xiaohua Xu Sergey Samsonov |
| author_facet | Zhichao Zhang Wanpeng Feng Xiaohua Xu Sergey Samsonov |
| author_sort | Zhichao Zhang |
| collection | DOAJ |
| description | Atmospheric Phase Screen (APS) is a major noise that suppresses the accuracy of InSAR deformation time series products. Several correction methods have been developed to perform APS reduction in the InSAR analysis, in which an algorithm called Common Scene Stacking (CSS) method draws wide attention in the community as the method was supposed to effectively separate atmospheric contributions without any external data. CSS was initially proposed for solving linearly interseismic deformation. Whether CSS can be applied in nonlinear deformation cases remains unsolved. In this study, we first conduct a series of data simulations including variable elastic deformation components and also propose an iterative strategy to address the inherent weak edge constraint issues in CSS under different deformation conditions. The results show that signal-to-noise ratio (SNR) is a key parameter affecting the performance of CSS in APS separation. For example, the recovery rate of deformation can generally be greater than 80% from datasets with SNR greater than 10 dB. Our results imply that CSS can favor further improvement of InSAR measurement accuracy. The proposed method in this study was applied to assessing deformation history across the 2020 Mw 5.7 Dingjie earthquake, in which logarithmic postseismic deformation history and coseismic contribution can be successfully retrieved once. |
| first_indexed | 2024-03-09T16:29:20Z |
| format | Article |
| id | doaj.art-53abd01f64834492b242ce213f8f0886 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T16:29:20Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-53abd01f64834492b242ce213f8f08862023-11-24T15:04:45ZengMDPI AGRemote Sensing2072-42922023-11-011522539910.3390/rs15225399Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation RetrievalZhichao Zhang0Wanpeng Feng1Xiaohua Xu2Sergey Samsonov3School of Earth Sciences and Engineering, Sun Yat-sen University (Zhuhai), Zhuhai 519000, ChinaSchool of Earth Sciences and Engineering, Sun Yat-sen University (Zhuhai), Zhuhai 519000, ChinaUniversity of Science and Technology of China, Hefei 230026, ChinaCanada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1A0E4, CanadaAtmospheric Phase Screen (APS) is a major noise that suppresses the accuracy of InSAR deformation time series products. Several correction methods have been developed to perform APS reduction in the InSAR analysis, in which an algorithm called Common Scene Stacking (CSS) method draws wide attention in the community as the method was supposed to effectively separate atmospheric contributions without any external data. CSS was initially proposed for solving linearly interseismic deformation. Whether CSS can be applied in nonlinear deformation cases remains unsolved. In this study, we first conduct a series of data simulations including variable elastic deformation components and also propose an iterative strategy to address the inherent weak edge constraint issues in CSS under different deformation conditions. The results show that signal-to-noise ratio (SNR) is a key parameter affecting the performance of CSS in APS separation. For example, the recovery rate of deformation can generally be greater than 80% from datasets with SNR greater than 10 dB. Our results imply that CSS can favor further improvement of InSAR measurement accuracy. The proposed method in this study was applied to assessing deformation history across the 2020 Mw 5.7 Dingjie earthquake, in which logarithmic postseismic deformation history and coseismic contribution can be successfully retrieved once.https://www.mdpi.com/2072-4292/15/22/5399Interferometric Synthetic Aperture Radar (InSAR)atmospheric correctionCommon Scene Stacking (CSS)nonlinear deformationInSAR time-series |
| spellingShingle | Zhichao Zhang Wanpeng Feng Xiaohua Xu Sergey Samsonov Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval Remote Sensing Interferometric Synthetic Aperture Radar (InSAR) atmospheric correction Common Scene Stacking (CSS) nonlinear deformation InSAR time-series |
| title | Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval |
| title_full | Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval |
| title_fullStr | Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval |
| title_full_unstemmed | Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval |
| title_short | Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval |
| title_sort | performance of common scene stacking atmospheric correction on nonlinear insar deformation retrieval |
| topic | Interferometric Synthetic Aperture Radar (InSAR) atmospheric correction Common Scene Stacking (CSS) nonlinear deformation InSAR time-series |
| url | https://www.mdpi.com/2072-4292/15/22/5399 |
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