| 平坦地区GPS高程异常拟合方法研究 |
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| 引用本文： | 赵云,曹先密.平坦地区GPS高程异常拟合方法研究[J].测绘工程,2010,19(3):24-25,38. |
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| 作者姓名： | 赵云 曹先密 |
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| 作者单位： | 黑龙江源泉国土资源勘查设计有限公司,黑龙江,哈尔滨,150001;武汉大学,测绘学院,湖北,武汉,430079 |
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| 摘 要： | 结合GPS测量和水准测量资料,用BP人工神经网络和RBF人工神经网络方法和二次多项式曲面拟合方法拟合高程异常,对平坦地区GPS高程异常拟合精度进行比较分析,得出有实用价值的结论。
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| 关 键 词： | 高程异常 BP人工神经网络 径向基神经网络 |
Research on GPS elevation abnormal fitting method of plane area |
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| ZHAO Yun,CAO Xian-mi.Research on GPS elevation abnormal fitting method of plane area[J].Engineering of Surveying and Mapping,2010,19(3):24-25,38. |
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| Authors: | ZHAO Yun CAO Xian-mi |
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| Institution: | 1.Heilongjiang Yuanquan Land Resources Survey & Design Co.; Ltd; Harbin 150001; China; 2.School of Geodesy and Geomatics; Wuhan University; Wuhan 430079; China); |
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| Abstract: | 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 are proposed.Some valuable conclusions are drawn from the analysis of the accuracy of conversion result of plane area. |
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| Keywords: | GPS elevation abnormal back propagation artificial neural network RBF artificial neural network |
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