摘要
在测量的观测数据中有可能含有异常值,这些异常值有可能对TLS的估计结果产生较大影响,甚至有可能使估计结果发生变异,因此必须对估计系统中粗差或异常值进行探测及剔除。本文采用TLS对观测数据进行拟合,并利用极限误差特性对初始拟合残差进行分析,得到了较好的粗差探测结果,对于粗差的诊断具有一定的实际指导意义。
It may contain outliners in the measurement of the observation data.These outliers may have a greater impact on estimates of TLS,and even has the potential to mutate the estimates.So,it is necessary to detect and remove gross errors that in the estimated system.This paper utilized TLS to fit the observed data,and analyze the initial fitting residual error based on the characteristics of limit error,get a better result of gross error detection.It will be a practical significance for diagnosing of the gross errors.
出处
《测绘与空间地理信息》
2013年第3期41-43,共3页
Geomatics & Spatial Information Technology
基金
精密工程与工业测量国家测绘局重点实验室开放基金项目(PF2011-17)资助
关键词
粗差探测
极限误差
TLS
gross error detection
limit error
TLS
