摘要
介绍了近代平差理论的稳健估计方法,编制稳健估计方法的程序,并通过实例验证,与最小二乘估计进行比较,表明稳健估计在水准网粗差探测和平差计算中优于最小二乘估计方法,并且能够定位粗差,从而进行消除或者减弱,得到较为干净的观测值。因此,稳健估计方法应用于测量平差具有一定的抵抗粗差的能力,从而可以提高数据处理的精度。
This paper introduces the modern adjustment theory of robust estimation method, and codes robust estimation proce- dure. Compared with the least square estimation by an example to verify, robust estimation is superior to least square in leveling network to detect gross errors, and detect the location of the gross error. Thus by removing gross errors in observations and val- ue, the observed value is clean. Therefore, robust estimation method in surveying adjustment has the ability to resist gross er- rors, which can improve the precision of data processing.
出处
《北京测绘》
2014年第5期134-135,139,共3页
Beijing Surveying and Mapping
关键词
稳健估计
抵抗粗差
数据处理
robust estimation to resist gross errors data processing
