{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T01:13:26Z","timestamp":1776647606893,"version":"3.51.2"},"reference-count":58,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"State Key Laboratory of Earthquake Dynamics","award":["LED2021206"],"award-info":[{"award-number":["LED2021206"]}]},{"name":"State Key Laboratory of Earthquake Dynamics","award":["NORSLS20-02"],"award-info":[{"award-number":["NORSLS20-02"]}]},{"name":"State Key Laboratory of Earthquake Dynamics","award":["42274064"],"award-info":[{"award-number":["42274064"]}]},{"name":"Lhasa National Geophysical Observation and Research Station","award":["LED2021206"],"award-info":[{"award-number":["LED2021206"]}]},{"name":"Lhasa National Geophysical Observation and Research Station","award":["NORSLS20-02"],"award-info":[{"award-number":["NORSLS20-02"]}]},{"name":"Lhasa National Geophysical Observation and Research Station","award":["42274064"],"award-info":[{"award-number":["42274064"]}]},{"name":"the National Natural Science Foundation of China (NSFC)","award":["LED2021206"],"award-info":[{"award-number":["LED2021206"]}]},{"name":"the National Natural Science Foundation of China (NSFC)","award":["NORSLS20-02"],"award-info":[{"award-number":["NORSLS20-02"]}]},{"name":"the National Natural Science Foundation of China (NSFC)","award":["42274064"],"award-info":[{"award-number":["42274064"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs15225399","type":"journal-article","created":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T09:23:43Z","timestamp":1700213023000},"page":"5399","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Performance of Common Scene Stacking Atmospheric Correction on Nonlinear InSAR Deformation Retrieval"],"prefix":"10.3390","volume":"15","author":[{"given":"Zhichao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Earth Sciences and Engineering, Sun Yat-sen University (Zhuhai), Zhuhai 519000, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5813-1466","authenticated-orcid":false,"given":"Wanpeng","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Earth Sciences and Engineering, Sun Yat-sen University (Zhuhai), Zhuhai 519000, China"},{"name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China"},{"name":"State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China"}]},{"given":"Xiaohua","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei 230026, China"},{"name":"Mengcheng National Geophysical Observatory, University of Science and Technology of China, Hefei 230026, China"}]},{"given":"Sergey","family":"Samsonov","sequence":"additional","affiliation":[{"name":"Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1A0E4, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"9183","DOI":"10.1029\/JB094iB07p09183","article-title":"Mapping Small Elevation Changes over Large Areas: Differential Radar Interferometry","volume":"94","author":"Gabriel","year":"1989","journal-title":"J. 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