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。
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 cal- culation 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 superiori- ty in practical application.
出处
《测绘科学》
CSCD
北大核心
2013年第3期63-65,共3页
Science of Surveying and Mapping
基金
国家自然科学基金资助项目(41071294)
广西科学基金资助项目(桂科基0991023)
广西区研究生科研创新项目(2011105960816M13)
关键词
最小二乘
主成分估计
半参数估计
GPS高程拟合
least-square
principal component estimates
semi-parametric estimation
GPS elevation fitting