摘要
在GPS高程拟合中,粗差往往影响着整个拟合的精度,粗差剔除是GPS高程拟合中的重要一步。论文中采用了循环稳健估计和F-T的组合法,这种方法可以有效弥补稳健估计的不确定性,F-T法运用严密的概率统计论的方法,能进行整体拟合粗差的检验和单个粗差的检验,我们发现这两种方法的结合可有效、彻底地剔除含有多个粗差的数据,使拟合精度更高。
In GPS elevation fitting,gross errors often affect the accuracy of the fitting,rejecting gross errors in GPS elevation fitting is an important step.This paper uses a method which is the combination of robust estimation of the cycle and F-T,it can effectively make up for uncertainty of robust estimation.F-T use rigorous probability statistical theory for test of the whole gross errors and the test of a single gross error,we found that the combination of these two methods can reject a number of gross errors completely,and improve the precision of GPS elevation fitting effectively.
出处
《测绘与空间地理信息》
2009年第6期165-168,共4页
Geomatics & Spatial Information Technology
