Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin
Interferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase and increase the density of monitoring points. I...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10965906/ |
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| author | Yahui Qiu Yuanjian Wang Ximin Cui Debao Yuan Peixian Li |
| author_facet | Yahui Qiu Yuanjian Wang Ximin Cui Debao Yuan Peixian Li |
| author_sort | Yahui Qiu |
| collection | DOAJ |
| description | Interferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase and increase the density of monitoring points. In this study, we propose a distributed scatterer InSAR (DS-InSAR) method centered on efficient polarization channel optimization and the construction of DS target covariance matrices to improve surface deformation monitoring in mountainous regions. This approach utilizes time-series InSAR based on polarimetric SAR data to enhance phase quality and monitoring point density. Specifically, the method first determines the optimal polarization channels for PS and DS points using the Broyden-Fletcher-Goldfarb-Shanno method with auxiliary land cover classification data, targeting amplitude dispersion and coherence. Next, the similarity-weighted approach is applied to estimate the sample covariance matrix for DS points. Finally, regularization parameters are introduced to further refine the optimal phase of DS points. Real-data experiments conducted in the Bailong River Basin of China, using Sentinel-1 ascending and descending data, demonstrate the effectiveness of the method through qualitative and quantitative analyses. Compared to traditional DS-InSAR techniques, the proposed method achieves a 10% improvement in monitoring point density and identifies 29 unstable slopes in the study area. In addition, incorporating polarimetric data enhances the accuracy of displacement evolution over time. |
| format | Article |
| id | doaj-art-e8c5e16b9cc7485dbbe3a1b4c4bcff5f |
| institution | OA Journals |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-e8c5e16b9cc7485dbbe3a1b4c4bcff5f2025-08-20T02:14:36ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118111421115410.1109/JSTARS.2025.356133710965906Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River BasinYahui Qiu0Yuanjian Wang1https://orcid.org/0009-0002-9583-6910Ximin Cui2https://orcid.org/0000-0002-2736-9102Debao Yuan3Peixian Li4https://orcid.org/0000-0001-6648-8473Beijing Polytechnic College, Beijing, ChinaSchool of Geoscience and Surveying Engineering, China University of Mining & Technology-Beijing, Beijing, ChinaSchool of Geoscience and Surveying Engineering, China University of Mining & Technology-Beijing, Beijing, ChinaSchool of Geoscience and Surveying Engineering, China University of Mining & Technology-Beijing, Beijing, ChinaSchool of Geoscience and Surveying Engineering, China University of Mining & Technology-Beijing, Beijing, ChinaInterferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase and increase the density of monitoring points. In this study, we propose a distributed scatterer InSAR (DS-InSAR) method centered on efficient polarization channel optimization and the construction of DS target covariance matrices to improve surface deformation monitoring in mountainous regions. This approach utilizes time-series InSAR based on polarimetric SAR data to enhance phase quality and monitoring point density. Specifically, the method first determines the optimal polarization channels for PS and DS points using the Broyden-Fletcher-Goldfarb-Shanno method with auxiliary land cover classification data, targeting amplitude dispersion and coherence. Next, the similarity-weighted approach is applied to estimate the sample covariance matrix for DS points. Finally, regularization parameters are introduced to further refine the optimal phase of DS points. Real-data experiments conducted in the Bailong River Basin of China, using Sentinel-1 ascending and descending data, demonstrate the effectiveness of the method through qualitative and quantitative analyses. Compared to traditional DS-InSAR techniques, the proposed method achieves a 10% improvement in monitoring point density and identifies 29 unstable slopes in the study area. In addition, incorporating polarimetric data enhances the accuracy of displacement evolution over time.https://ieeexplore.ieee.org/document/10965906/Broyden-Fletcher-Goldfarb-Shanno (BFGS) methodcovariance matrix estimationdistributed scatterer interferometry synthetic aperture radar (DS-InSAR)polarimetricregularization |
| spellingShingle | Yahui Qiu Yuanjian Wang Ximin Cui Debao Yuan Peixian Li Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Broyden-Fletcher-Goldfarb-Shanno (BFGS) method covariance matrix estimation distributed scatterer interferometry synthetic aperture radar (DS-InSAR) polarimetric regularization |
| title | Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin |
| title_full | Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin |
| title_fullStr | Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin |
| title_full_unstemmed | Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin |
| title_short | Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin |
| title_sort | unstable slope identification and monitoring using polarization enhanced ds insar a case study in the bailong river basin |
| topic | Broyden-Fletcher-Goldfarb-Shanno (BFGS) method covariance matrix estimation distributed scatterer interferometry synthetic aperture radar (DS-InSAR) polarimetric regularization |
| url | https://ieeexplore.ieee.org/document/10965906/ |
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