多类大地测量数据的融合方法及其比较  

Integrated Data Processing Methods for Various Geodetic Observations and their Comparisons

作　　者：张丽萍[1] 张前恩 曾安敏[1] 

机构地区：[1]西安测绘研究所

出　　处：《测绘科学与工程》2010年第1期19-23,共5页Geomatics Science and Engineering

基　　金：国家自然科学基金项目（40774001、40841021）;国家863计划（2007AA12Z331）

摘　　要：本文针对多类大地测量数据处理问题，讨论了多类大地测量数据的抗差解融合、方差分量估计解融合、基于抗差解的方差分量估计融合以及顾及参数先验信息的自适应融合等数据处理方法，采用这些方法能合理地调整不同种类观测量间的权比以及观测量与参数先验信息问的权比。实际算例表明，采用这些融合方法能明显地提高多类大地测量数据处理的结果精度。In geodetic data fusion, the functional models of measurements and prior information should be carefully treated, adjustment method should also be reasonably selected. In this paper, several integrated data processing methods, included integrated data processing methods based on robust estimation, variance components estimations of various observations and variance components estimations after using robust estimation, are proposed and compared, which can not only adjust weights among various observations, but also adjust weights between the observations and prior information by adaptive factor. An actual case shows that these methods can improve the precision of adjustment results and control the influences of the outliers.

关 键 词：多类大地测量 数据融合 抗差估计 方差分量 自适应因子 异常误差 

分 类 号：P228[天文地球—大地测量学与测量工程]