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GPS跨河水准拟合方法研究与工程实践
引用本文:李崇伟,;花向红,;杨克明,;邱卫宁.GPS跨河水准拟合方法研究与工程实践[J].测绘信息与工程,2014(6):17-19.
作者姓名:李崇伟  ;花向红  ;杨克明  ;邱卫宁
作者单位:[1]武汉大学测绘学院,武汉市珞喻路129号430079; [2]宁夏公路勘察设计院有限责任公司,银川市清和南街15号750004; [3]武汉大学灾害监测与防治研究中心,武汉市珞喻路129号430079
基金项目:国家自然科学基金资助项目(41174010,41374011); 宁夏回族自治区交通运输厅科技资金资助项目
摘    要:提出了一种GPS跨河水准拟合方法,即由GPS大地高差用BP神经网络方法拟合得到的高程异常差,求跨河点间的正常高差,并给出了利用MATLAB语言实现拟合方法的步骤。工程实例计算表明,在选用较好的神经网络结构,适合的训练函数的条件下,采用输入点的坐标差、大地高差,输出高程异常差的BP神经网络设计来进行GPS跨河点间的正常高差计算,可以达到较好的精度。

关 键 词:GPS跨河水准  BP神经网络  GPS大地高差  高程异常差

Research and Engineering Practice of GPS River-Crossing Leveling Fitting Method
Institution:LI Chongwei, HUA Xianghong ,YANG Keming,QIU Weining ( 1 School of Geodesy arid Geoomaties,Wuhan University,129 Luoyu Road,Wuhan 430079,China;2.Nigxia Highway Survey and Design Institute Co.,Ltd.,15 South Qinghe Street,Yinchuan 750004,Chin;3.Research Center of Hazard Monitoring nd Prevention,Wuhau University,129 Luoyu Road ,Wuhan 430079,China)
Abstract:A method of GPS river-crossing leveling fitting is introduced in this paper. The normal height difference of two points across the river can be worked out by GPS height difference and abnormal height difference fitted by BP neural network. By testing the BP neural network in a project example, when choose the better neural network structure and suitable training function and input coordinate inference and GPS height difference, the normal height difference of the two points can be worked out. And results show that this method can obtain good accuracy.
Keywords:GPS river-crossing leveling  BP neural network  GPS height difference  abnormal height difference
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