GPS高程拟合的方法比较 |
| |
引用本文: | 何美琳,文鸿雁,潘元进,李超. GPS高程拟合的方法比较[J]. 测绘科学, 2013, 38(3) |
| |
作者姓名: | 何美琳 文鸿雁 潘元进 李超 |
| |
作者单位: | 桂林理工大学测绘地理信息学院/广西空间信息与测绘重点实验室,广西桂林,541004 |
| |
基金项目: | 国家自然科学基金资助项目,广西科学基金资助项目,广西区研究生科研创新项目 |
| |
摘 要: | GPS高程拟合的方法有很多,各有其优点和适用范围。本文在最小二乘估计算法的基础上,讨论主成分估计法和半参数模型估计法及各自的优点,并利用六参数模型的最小二乘估计、主成分估计和半参数模型三种拟合方法对GPS高程进行拟合,通过实例计算结果比较分析,得出半参数估计方法优于其他方法,在一定条件下精度高的优点。最后得出半参数估计方法精度达毫米级,论证了其在实际应用中的优越性。
|
关 键 词: | 最小二乘 主成分估计 半参数估计 GPS高程拟合 |
Comparison of methods in GPS elevation fitting |
| |
Abstract: | There are many fitting methods in GPS elevation fitting with their own advantages and application scope.This paper based on the algorithm of least-squares estimation discussed principal component estimation method,semi-parametric model estimation method and their respective advantages.Then GPS elevation fitting was made with three methods: least-square estimation method in six parameter model,principal component estimation and semi-parametric model estimation method.Comparing with and analyzing the calculation results,it was shown that the semi-parametric model estimation method would have a higher precision than others under certain conditions,and the semi-parametric model estimation method could reach the precision of millimeter level and demonstrate its superiority in practical application. |
| |
Keywords: | least-square principal component estimates semi-parametric estimation GPS elevation fitting |
本文献已被 万方数据 等数据库收录! |
|