摘要
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。
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.
出处
《测绘与空间地理信息》
2009年第6期151-152,155,共3页
Geomatics & Spatial Information Technology
关键词
高程异常
BP神经网络
径向基神经网络
height anomaly
Back propagation Neural Network
RBF Neural Network
