| 城镇控制测量中GPS高程拟合方法分析 |
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| 引用本文： | 赵文更,梁安宝.城镇控制测量中GPS高程拟合方法分析[J].测绘与空间地理信息,2011,34(2):172-173,176. |
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| 作者姓名： | 赵文更 梁安宝 |
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| 作者单位： | 1. 山东正元数字城市建设有限公司,山东烟台,264000
2. 国家测绘局第二大地测量队,黑龙江哈尔滨,150081 |
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| 摘 要： | 结合扶余城镇控制测量成果对基于BP神经网络法进行GPS高程拟合进行了分析.与二次曲面拟合结果比较分析表明,通过施测少量均匀分布GPS点水准高程,采用BP神经网络方法计算GPS点正常高具有较高的精度,在生产中具有一定的应用价值.
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| 关 键 词： | 神经网络 GPS高程 正常高 BP网络算法 |
Analysis of GPS Elevation Fitting Method in Town Control Survey |
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| ZHAO Wen-geng,LIANG An-bao.Analysis of GPS Elevation Fitting Method in Town Control Survey[J].Geomatics & Spatial Information Technology,2011,34(2):172-173,176. |
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| Authors: | ZHAO Wen-geng LIANG An-bao |
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| Institution: | 1.Shandong Zhengyuan Digital City Construction Co.Ltd,Yantai 264002,China;2.The Second Geodetic Team of State Bureau of Surveying and Mapping,Harbin 150086,China) |
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| Abstract: | In this paper,control measurements with the results of urban Fuyu BP neural network based on GPS elevation fitting method were analyzed.Compared with the quadratic surface fitting results showed that calculating normal height of GPS points using BP neural network through measuring a small amount evenly leveling GPS points had high accuracy,which has a certain value in the production. |
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| Keywords: | neural network GPS height normal height BP network algorithm |
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