GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression
Complex construction environments can interfere with ground-based synthetic aperture radar (GB-SAR) deformation monitoring, potentially leading to missed or false alarms. Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing metho...
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| Format: | Article |
| Language: | English |
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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/11045970/ |
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| author | Wenting Zhang Tao Lai Yuanhui Mo Haifeng Huang Qingsong Wang Zhihua Zhou |
| author_facet | Wenting Zhang Tao Lai Yuanhui Mo Haifeng Huang Qingsong Wang Zhihua Zhou |
| author_sort | Wenting Zhang |
| collection | DOAJ |
| description | Complex construction environments can interfere with ground-based synthetic aperture radar (GB-SAR) deformation monitoring, potentially leading to missed or false alarms. Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. To address these challenges, this article proposes a joint processing method integrating amplitude-phase feature analysis and robust regression. The method first constructs a multithreshold detection framework in the amplitude-phase dual-domain and combines the wavelet-Monte Carlo confidence screening strategy to achieve precise identification of engineering interference. Subsequently, a two-stage suppression model based on robust estimation theory is developed to effectively suppress interference. Experimental results from the Dabao Mountain and Pearl River mining areas demonstrate that the proposed method achieves a reduction of over 80% in the maximum standard deviation of the time-series cumulative phase after suppression, significantly improving phase stability. These findings validate the applicability and effectiveness of the proposed method in complex construction environments, providing strong support for the practical application of GB-SAR in engineering monitoring. |
| format | Article |
| id | doaj-art-c62a79945b6548f6b59a5d70940a8afd |
| institution | Kabale University |
| 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-c62a79945b6548f6b59a5d70940a8afd2025-08-20T03:58:40ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118178891790410.1109/JSTARS.2025.358161011045970GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust RegressionWenting Zhang0https://orcid.org/0009-0001-0610-1959Tao Lai1https://orcid.org/0000-0003-0044-2995Yuanhui Mo2https://orcid.org/0009-0000-3155-6958Haifeng Huang3https://orcid.org/0009-0007-5948-1821Qingsong Wang4https://orcid.org/0009-0004-9240-8341Zhihua Zhou5School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, ChinaSchool of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, ChinaSchool of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, ChinaSchool of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, ChinaSchool of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, ChinaInstitute of Geo-Environment Monitoring of Guangdong Province, Guangzhou, ChinaComplex construction environments can interfere with ground-based synthetic aperture radar (GB-SAR) deformation monitoring, potentially leading to missed or false alarms. Current research on addressing engineering interference in GB-SAR deformation monitoring remains preliminary, with existing methods exhibiting limitations in interference pattern coverage, feature extraction, and algorithm robustness. To address these challenges, this article proposes a joint processing method integrating amplitude-phase feature analysis and robust regression. The method first constructs a multithreshold detection framework in the amplitude-phase dual-domain and combines the wavelet-Monte Carlo confidence screening strategy to achieve precise identification of engineering interference. Subsequently, a two-stage suppression model based on robust estimation theory is developed to effectively suppress interference. Experimental results from the Dabao Mountain and Pearl River mining areas demonstrate that the proposed method achieves a reduction of over 80% in the maximum standard deviation of the time-series cumulative phase after suppression, significantly improving phase stability. These findings validate the applicability and effectiveness of the proposed method in complex construction environments, providing strong support for the practical application of GB-SAR in engineering monitoring.https://ieeexplore.ieee.org/document/11045970/Amplitude-phase feature analysisengineering interferenceground-based synthetic aperture radar (GB-SAR)robust regression |
| spellingShingle | Wenting Zhang Tao Lai Yuanhui Mo Haifeng Huang Qingsong Wang Zhihua Zhou GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Amplitude-phase feature analysis engineering interference ground-based synthetic aperture radar (GB-SAR) robust regression |
| title | GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression |
| title_full | GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression |
| title_fullStr | GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression |
| title_full_unstemmed | GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression |
| title_short | GB-SAR Engineering Interference Suppression Method Integrating Amplitude-Phase Feature Analysis and Robust Regression |
| title_sort | gb sar engineering interference suppression method integrating amplitude phase feature analysis and robust regression |
| topic | Amplitude-phase feature analysis engineering interference ground-based synthetic aperture radar (GB-SAR) robust regression |
| url | https://ieeexplore.ieee.org/document/11045970/ |
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