摘要
结合扶余城镇控制测量成果对基于BP神经网络法进行GPS高程拟合进行了分析。与二次曲面拟合结果比较分析表明,通过施测少量均匀分布GPS点水准高程,采用BP神经网络方法计算GPS点正常高具有较高的精度,在生产中具有一定的应用价值。
In this paper,control measurements with the results of urban Fuyu BP neural network based on GPS elevation fitting method were analyzed.Compared with the quadratic surface fitting results showed that calculating normal height of GPS points using BP neural network through measuring a small amount evenly leveling GPS points had high accuracy,which has a certain value in the production.
出处
《测绘与空间地理信息》
2011年第2期172-173,176,共3页
Geomatics & Spatial Information Technology
