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函数模型与随机模型双约束的GPS-InSAR数据融合方法建立三维形变场
引用本文:马艳鸽,赵丽华,张盼盼,吕佳凝.函数模型与随机模型双约束的GPS-InSAR数据融合方法建立三维形变场[J].大地测量与地球动力学,2019,39(11):1112-1117.
作者姓名:马艳鸽  赵丽华  张盼盼  吕佳凝
作者单位:长安大学地质工程与测绘学院,西安市雁塔路126号,710054;长安大学地质工程与测绘学院,西安市雁塔路126号,710054;长安大学地质工程与测绘学院,西安市雁塔路126号,710054;长安大学地质工程与测绘学院,西安市雁塔路126号,710054
基金项目:国家自然科学基金;国家自然科学基金;国家自然科学基金;国家自然科学基金;中央高校基本科研业务费专项;中央高校基本科研业务费专项
摘    要:针对InSAR技术研究地表三维形变时监测信息不足的问题,以GPS监测信息为先验信息,建立附有随机模型约束的地表三维形变模型。考虑到SAR卫星极轨方式运行导致LOS向观测量对南北向形变不敏感的问题,以GPS南北向形变观测值作为强约束,构建三维形变解算的函数约束条件。模拟数据与西安地区实测数据的计算结果表明,基于随机模型与函数模型共同约束的地表三维形变参数最小二乘解的精度优于仅有函数模型约束或仅有随机模型约束及无任何约束的参数解精度。

关 键 词:InSAR  GPS  随机模型  函数模型  双约束模型  三维形变场

Establishment of 3D Deformation Field by GPS-InSAR Data Fusion Method Based on Function and Stochastic Model
MA Yange,ZHAO Lihua,ZHANG Panpan,Lü Jianing.Establishment of 3D Deformation Field by GPS-InSAR Data Fusion Method Based on Function and Stochastic Model[J].Journal of Geodesy and Geodynamics,2019,39(11):1112-1117.
Authors:MA Yange  ZHAO Lihua  ZHANG Panpan  Lü Jianing
Abstract:Aiming at the problem of insufficient monitoring information when InSAR technology is used to study the surface three-dimensional deformation, a three-dimensional deformation model with stochastic model constraints is established with GPS monitoring information as a priori. Considering that the LOS observation is insensitive to the North-South deformation due to the polar orbit of SAR satellite, the function constraint condition of 3D deformation solution is constructed with the strong constraint of GPS north-south deformation observation. The results of the simulation data and the measured data in Xi’an area show that the least squares solution based on the combination of stochastic model and functional model is more accurate than the parametric solution, with only functional model constraint or stochastic model constraint, and the parametric solution without any constraint.
Keywords:InSAR  GPS  stochastic model  function model  double constraint model  three-dimensional deformation  
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