| 平坦地区GPS高程异常拟合研究 |
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| 引用本文： | 魏旭东,曹先革,杨金玲.平坦地区GPS高程异常拟合研究[J].测绘与空间地理信息,2011,34(5):59-61. |
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| 作者姓名： | 魏旭东 曹先革 杨金玲 |
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| 作者单位： | 黑龙江工程学院,黑龙江哈尔滨,150050 |
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| 摘 要： | GPS测量所提供的高程为相对于WGS-84椭球的GPS大地高,而我国使用的是正常高。大地高等于正常高与高程异常之和,要使GPS高程在工程实际中得到应用,必须先求出高程异常,进而获得正常高。结合GPS测量和水准测量资料,用神经网络方法和二次多项式曲面拟合方法拟合高程异常,对拟合精度进行了分析比较,得出了有实用价值的结论。
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| 关 键 词： | GPS 高程异常 BP神经网络 径向基神经网络 |
Research on GPS Elevation Abnormal Fitting in Plane Area |
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| WEI Xu-dong,CAO Xian-ge,YANG Jin-ling.Research on GPS Elevation Abnormal Fitting in Plane Area[J].Geomatics & Spatial Information Technology,2011,34(5):59-61. |
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| Authors: | WEI Xu-dong CAO Xian-ge YANG Jin-ling |
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| Institution: | WEI Xu-dong,CAO Xian-ge,YANG Jin-ling (Heilongjiang Institute of Technology,Harbin 150050,China) |
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| Abstract: | At present,the coordinate system of GPS is WGS-84.However,in engineering application field the coordinates need to be converted and ellipsoidal height needs to be converted for normal height.In this paper,the conversion methods of GPS geodetic height to normal height using BP and RBF neural network and second surface fitting based on the GPS and Leveling data were proposed.Some valuable conclusions were drawn from the analysis of the accuracy of conversion result. |
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| Keywords: | GPS GPS elevation abnormal BP neural network RBF neural network |
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