| 水利水电工程区域GPS高程转换模型研究 |
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| 引用本文： | 刘彦杰,范仲浩,伍博,刘祖强.水利水电工程区域GPS高程转换模型研究[J].工程地球物理学报,2011,8(6):774-778. |
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| 作者姓名： | 刘彦杰 范仲浩 伍博 刘祖强 |
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| 作者单位： | 1. 长江三峡勘测研究院有限公司(武汉),湖北武汉,430074
2. 长江岩土工程总公司(武汉),湖北武汉,430010 |
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| 摘 要： | 将相对于参考椭球面的GPS大地高改算为工程应用的相对于似大地水准面的正常高,必须进行GPS高程转换.本文介绍了几种传统的转换方法,重点讨论了GPS高程转换的神经网络方法.两个实例表明,神经网络模型的内部符合精度和外部符合精度略高于二次多项式曲面拟合.特别是在参与建模的控制点数目较多时,神经网络模型更加优于二次多项式曲面...
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| 关 键 词： | GPS 高程转换 神经网络 二次曲面 模型 |
Water Conservancy and Hydropower Project Area of GPS Height Transformation Model |
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| Liu Yanjie,Fan Zhonghao,Wu Bo,Liu Zuqiang.Water Conservancy and Hydropower Project Area of GPS Height Transformation Model[J].Chinese Journal of Engineering Geophysics,2011,8(6):774-778. |
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| Authors: | Liu Yanjie Fan Zhonghao Wu Bo Liu Zuqiang |
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| Affiliation: | 1.Changjiang Three Gorges Survey Research Institute Co.,Ltd.(Wuhan),Wuhan Hubei 430074,China; 2.Changjiang Geotechnical Engineering Corporation(Wuhan),Wuhan Hubei 430010,China) |
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| Abstract: | GPS geodetic height is relative to the reference ellipsoid,and engineering applications must be GPS height transformation.This paper describes several traditional conversion methods,focused on the GPS height transformation of the neural network.Two examples show that the neural network model accuracy is higher than quadratic polynomial surface fitting model.Especially in the modeling of the larger number of control points,the neural network model is superior to quadratic polynomial surface fitting model,which shows that neural network model has a strong generalization ability. |
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| Keywords: | GPS elevation conversion neural network quadratic polynomial surface model |
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