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。"/>
Establishment of 3D Deformation Field by GPS-InSAR Data Fusion Method Based on Function and Stochastic Model
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.
MA Yange,ZHAO Lihua,ZHANG Panpan et al. Establishment of 3D Deformation Field by GPS-InSAR Data Fusion Method Based on Function and Stochastic Model[J]. jgg, 2019, 39(11): 1112-1117.
MA Yange,ZHAO Lihua,ZHANG Panpan et al. Establishment of 3D Deformation Field by GPS-InSAR Data Fusion Method Based on Function and Stochastic Model[J]. jgg, 2019, 39(11): 1112-1117.
