欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
CRInSAR技术克服了传统DInSAR的一些不足，成为近年来的研究热点，但单一的CRInSAR技术只能监测LOS的一维形变。而kalman滤波采用状态空间的概念，可以用来估计平稳或非平稳的多维信号随机过程，已经被广泛地应用于动态数据处理之中。因此本文以CRInSAR模型为基础，将不同时间跨度的干涉数据作为动态数据，构建相应的观测方程和状态方程，并以经典的kalman滤波估计角反射器的三维形变量和三维形变速度。实践证明，该方法是合理可行的。
英文摘要：
Because of conquering some deficiency of traditional DInSAR, CRInSAR has become an investigative hotspot recently. However, single CRInSAR just can survey one dimension deformation in the line of sight of radar. Kalman filtering, which introduces the conception of state space, could be used to estimate multidimensional signal random process in calm or un-calm state. And kalman filtering has been widely applied in dynamic data processing. In this paper, we used interferometric data in different time span as dynamic data and constructed corresponding observational equation and state equation based on CRInSAR model. Besides, we used classical kalman filtering to estimate 3D deformation and 3D deformation velocity of comer refiecter. It＇ s proved that this method is feasible by an experiment in the area of Hongkong
同期刊论文项目
同项目期刊论文
Coseismic fault slip of the 2008 M-w 7.9 Wenchuan earthquake estimated from InSAR and GPS measuremen
Inferring three-dimensional surface displacement field by combining SAR interferometric phase and am
期刊信息
位置：