测绘通报 ›› 2018, Vol. 0 ›› Issue (8): 6-10.doi: 10.13474/j.cnki.11-2246.2018.0236

• 学术研究 • 上一篇    下一篇

多视线向D-InSAR三维地表形变解算中GPS约束定权

王志伟, 刘国林, 陶秋香, 于胜文, 王珂, 周传义   

  1. 山东科技大学测绘科学与工程学院, 山东 青岛 266590
  • 收稿日期:2017-12-25 修回日期:2018-06-21 出版日期:2018-08-25 发布日期:2018-08-30
  • 作者简介:王志伟(1988-),男,博士生,研究方向为InSAR三维地表形变解算。E-mail:zhi.wei.wang@163.com
  • 基金资助:
    国家自然基金(41774002;41404003)

A New Weight-determining Method Based on GPS for Three-dimensional Surface Deformation Monitoring by Multi-LOS D-InSAR

WANG Zhiwei, LIU Guolin, TAO Qiuxiang, YU Shengwen, WANG Ke, ZHOU Chuanyi   

  1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  • Received:2017-12-25 Revised:2018-06-21 Online:2018-08-25 Published:2018-08-30

摘要: 提出了一种基于GPS约束的多视线向三维地表形变解算定权的方法。该方法以同期高精度GPS形变观测量对多视线向D-InSAR形变观测量进行精度评价,顾及轨道、地形和噪声等系统误差对多视线向D-InSAR形变量影响的特点,通过建立跟像元位置和高程有关的联合拟合模型,实现逐像元精度评价,完成多视线向D-InSAR三维地表形变解算模型中定权。本文以2009年意大利拉奎拉地区地震为研究区,对该定权方法的可行性和精度进行了验证。结果表明,本文提出的GPS约束定权的多视线向D-InSAR三维形变解算方法可以获取可靠的解算结果。

关键词: 多视线向D-InSAR, 权阵, 三维地表形变, 拉奎拉地震

Abstract: This paper presents a weight-determining method based on high-precision GPS constraints.In this method,the precision of the multi-LOS D-InSAR deformation observations is evaluated based on the high-precision GPS deformation observations in the same period.Then,considering the influence of system errors and accidental errors on the deformation of a pixel observed by the multi-LOS D-InSAR,a combined fitting model associated with the positions and elevations of a pixel is built.Finally,the precision of deformation from the multi-LOS D-InSAR is evaluated pixel by pixel use the built model,thus determining the weights of observations in the model for resolving three-dimensional surface deformation by the multi-LOS D-InSAR.Authors verify the feasibility and precision of the weight-determining method respectively through a real data experiment based on the case of 2009 L'Aquila earthquake.The results of verification show that the weight-determining method based on high-precision GPS constraints in this article provides reliability for the resolved three-dimensional surface deformation.

Key words: multi-LOS D-InSAR, weight matrix, three-dimensional surface deformation, L'aquila earthquake

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