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。
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.
出处
《测绘工程》
CSCD
2010年第3期24-25,38,共3页
Engineering of Surveying and Mapping
关键词
高程异常
BP人工神经网络
径向基神经网络
GPS elevation abnormal
back propagation artificial neural network
RBF artificial neural network
