GPS高程转换的总体最小二乘拟合推估模型

发布时间：2018-07-08 16:27

本文选题：总体最小二乘 + 拟合推估法　；参考：《武汉大学学报(信息科学版)》2016年09期

【摘要】：在现有的关于GPS高程转换的总体最小二乘方法研究中,通常是将高程异常转换参数的计算与待求点高程异常的计算分两步进行处理,并且只考虑由已知高程异常点的平面坐标组成的系数矩阵的误差,忽略了高程异常待求点的坐标误差。针对以上问题,本文提出了GPS高程转换的总体最小二乘拟合推估模型,将计算高程异常转换参数和待求点高程异常联合处理,且考虑到所有点的点位误差,最后采用拟合推估法进行求解。实验结果表明,本文方法能够有效地提高高程转换的精度。
[Abstract]:In the existing research on the total least square method of GPS height conversion, the calculation of the parameters of height anomaly conversion and the calculation of the point height anomaly to be solved are usually processed in two steps. And only the error of the coefficient matrix composed of the plane coordinates of the known height anomaly points is considered, and the coordinate errors of the points to be solved by the height anomalies are ignored. In order to solve the above problems, this paper presents a global least-squares fitting estimation model for GPS elevation conversion, which combines the calculation of height anomaly parameters with the point height anomaly to be solved, and takes into account the point error of all points. Finally, the method of fitting estimation is used to solve the problem. The experimental results show that the proposed method can effectively improve the accuracy of elevation conversion.
【作者单位】：东华理工大学测绘工程学院;流域生态与地理环境监测国家测绘地理信息局重点实验室;中国矿业大学环境与测绘学院;
【基金】：国家自然科学基金(41204003) 江西省教育厅科技项目(GJJ150595,KJLD12077,KJLD14049) 流域生态与地理环境监测国家测绘地理信息局重点实验室项目(WE2015005) 对地观测技术国家测绘地理信息局重点实验室项目(K201502) 测绘地理信息公益性行业科研专项(201512026) 东华理工大学博士科研启动基金(DHBK201113) 江西省杰出青年人才资助计划国家重点研发计划(2016YFB0501405)~~
【分类号】：P228.4

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