| 改进的CR-InSAR技术用于四川甲居滑坡形变监测 |
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| 引用本文： | 敖萌,张勤,赵超英,刘广全.改进的CR-InSAR技术用于四川甲居滑坡形变监测[J].武汉大学学报(信息科学版),2017,42(3):377-383. |
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| 作者姓名： | 敖萌 张勤 赵超英 刘广全 |
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| 作者单位： | 1.长安大学地质工程与测绘学院, 陕西 西安, 710054 |
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| 基金项目： | 国家973计划2014CB744703国家自然科学基金4137237国家自然科学基金41274005国家自然科学基金41304016国家自然科学基金41202245 |
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| 摘 要： | 采用一种改进的基于相位相干性的非线性人工角反射器InSAR解算算法，不仅能有效地避免相位解缠误差，而且对于大尺度形变梯度具有较强的探测能力。将该方法用于四川丹巴县甲居滑坡形变监测试验，获取了位于甲居滑坡上角反射器的形变结果。通过与小基线集InSAR算法以及基于解缠相位的CR-InSAR算法结果比较，该方法更能准确获取非线性形变时间序列结果，合理地揭示了甲居滑坡明显的形变特征。
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| 关 键 词： | 甲居滑坡 非线性形变 监测 人工角反射器 |
| 收稿时间： | 2015-05-27 |
An Improved CR-InSAR Technology Used for Deformation Monitoring in Jiaju Landslide,Sichuan |
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| Affiliation: | 1.School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China2.Key Laboratory of Western China's Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China |
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| Abstract: | CR-InSAR is to lay a number of artificial scatterers in the study area to overcome the spatial and temporal decorrelation effect on D-InSAR and to detect high precision deformation of complex terrain area. However, when the deformation between two CR points is more than half radar wavelength, phase unwrapping is becoming extremely difficult. At present, common phase unwrapping methods used for CR-InSAR are Lambda algorithm, minimum cost flow algorithm, et al, but these algorithms all require successfully unwrapping.In the paper, we adopt an improved nonlinear artificial corner reflectors InSAR algorithm based on phase coherence. This method can not only avoid the phase unwrapping error effectively, but also has the strong capability to detect the large scale deformation gradient. In the separation of nonlinear deformation, according to the different characteristics of atmospheric phase in special and temporal domain, taking atmospheric phase and noise phase together as random error, applying the least square method to calculate nonlinear deformation parameters to reduce the loss of nonlinear deformation as far as possible. Taking Jiaju landslide located in Danba County of Sichuan Province as an example, we obtain the deformation of the corner reflectors placed in Jiaju landslide. By comparing the result with that of the SBAS InSAR algorithm and the unwrapping phase based CR-InSAR algorithm, it proves that the improved method can obtain the nonlinear time series result accurately and also reveals that Jiaju landslide has obvious deformation characteristics reasonably. |
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