改进的IGG法在水准网中粗差探测的应用研究

Application of Improved IGG Method in Gross Error Detection of Leveling Network

粗差作为一种模型误差,由于其存在的方式不具有统计规律,使得发现和定位粗差具有较大的难度。粗差比偶然误差大得多,它的存在将会严重损害观测数据的质量。本文针对水准网数据,从粗差探测这个方面来探讨和研究水准网粗差探测的方法和思路。本文主要研究的是:在水准网数据处理中,基于稳健估计选权迭代法和数据探测法思想,提出一种改进的IGG法来进行粗差探测,经过实例分析,论证该方法在水准网粗差探测中的优势。

As a kind of model error,gross error is difficult to find and locate because its existence mode does not have statistical law.Gross error is much larger than accidental error,and its existence will seriously damage the quality of observation data.Based on the data of leveling network,this paper discusses and studies the methods and ideas of gross error detection of leveling network from the aspect of gross error detection.The main research of this paper is:in the leveling network data processing,based on the idea of robust estimation weight selection iterative method and data detection method,an improved IGG method is proposed to detect gross error.The advantages of this method in the detection of gross errors in leveling network are demonstrated through case analysis.