移动最小二乘法在高程异常拟合中的应用

The Application of Moving Least Square Method on Elevation Anomaly Fitting

1.
(1.Guangdong Polytechnic Environmental protection Engineering, Foshan 528216, China
2.
Foshan Institute of Geographic Information, Foshan 528000, China

摘要: 高程异常的求取一直是测绘领域关注的问题,常用的拟合方法都是基于最小二乘法进行。文中应用移动最小二乘法进行高程异常拟合,通过工程数据验算,拟合精度较其他常规模型有一定提高。同时,针对移动最小二乘法中的半径确定问题,提出了“固定点数法”,经过验证,该方法能够满足拟合精度要求。
- 移动最小二乘法 /
- 高程异常 /
- 精度 /
- 固定点数法
Abstract: The anomaly of elevation has always been a concern in surveying and mapping field, and the commonly used fitting methods are based on least square method. In this paper, the method of moving least square method is used to make the elevation anomaly fitting, and the fitting accuracy is improved by the Engineering data. At the same time, the "fixed point method" is proposed for the determination of the radius in the least square method of moving, and the method can satisfy the fitting precision requirement.
- Moving least squares /
- elevation anomaly /
- precision /
- fixed point method

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