基于最小二乘配置模型的高程异常拟合

Height Anomaly Fitting Based on Least Squares Configuration Model

如何由全球定位系统(GPS)测量的大地高得到常用的正常高一直是测绘工作者研究的热点。以某煤矿的高程数据为例,分别使用二次曲面拟合模型以及最小二乘配置模型对高程数据进行处理。对比两种模型结果,最小二乘配置模型拟合残差较小,内外符合精度较高,可以满足实际测量工作的需求。

How to obtain the normal height from the geodetic height measured by GPS has always been a hot spot by surveying workers. This paper takes an example of a coalmine’s elevation data which is processed by the quadric surface fitting model and the least squares configuration model. Comparing the results of the two models, the residuals of the least-squares model have a smaller fitting error, and the internal precision and outer precision are high. The obtained results can meet the needs of actual measurement work.