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基于稳健估计的GPS高程拟合
引用本文:陈香萍,刘立龙,黎峻宇,蔡成辉,黄良珂. 基于稳健估计的GPS高程拟合[J]. 城市勘测, 2014, 0(5): 15-18
作者姓名:陈香萍  刘立龙  黎峻宇  蔡成辉  黄良珂
作者单位:桂林理工大学测绘地理信息学院,广西桂林 541004; 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(41064001);广西自然科学基金资助项目(2012GXNSFAA053183;2012GXNSFGA060001);广西研究生教育创新计划资助项目(YCSZ2013077);广西空间信息与测绘重点实验室(桂科能1207115-07);广西矿冶与环境科学实验中心资助课题(编号KH2012ZD004);广西“八桂学者”岗位专项经费资助项目。
摘    要:为了研究稳健估计法在GPS高程拟合中的抗差能力,通过模拟在已知点中分别加入0.05m、0.1m、0.2m和0.3m的粗差以及在两个已知点中加入粗差,并采用二次曲面拟合法、BP神经网络模型和基于Huber法定权的稳健估计法进行对比。计算结果表明,稳健估计法应用于GPS高程拟合具有较好的抗差能力。

关 键 词:稳健估计  二次曲面拟合法  神经网络  高程异常  粗差

Based on robust estimation of GPS Elevation Fitting
Chen Xiangping,Liu Lilong,Li Junyu,Cai Chenghui,Huang Liangke. Based on robust estimation of GPS Elevation Fitting[J]. Urban Geotechnical Investigation & Surveying, 2014, 0(5): 15-18
Authors:Chen Xiangping  Liu Lilong  Li Junyu  Cai Chenghui  Huang Liangke
Affiliation:Chen Xiangping, Liu Lilong, Li Junyu, Cai Chenghui, Huang Liangke ( 1. College of Geomatic Engineering and Geoinformatics, Guilin University of Technology, Guilin 541004, China ; 2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China)
Abstract:In order to study the error resistance capability of the robust estimation method in GPS height fitting, through the simulation of gross errors in 0.05m,0.1m,0.2m and 0.3m were added in the known points and in the two known points with error,then compare application of the two curved surface fitting,BP neural network model and robust estimation method based on Huber given the right.The results show that,the robust estimation method is applied to GPS elevation fitting has good robust capability.
Keywords:Robust Estimation  Two Curved Surface Fitting  Neural Network  Height Anomaly  Gross Error
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