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。
The elevation provided by GPS survey is the GPS geodetic height based on WGS-84 ellipsoid parameter,and the normal height is used in China. The geodetic height is the sum of normal height and height abnormity. To use the GPS elevation in engineering, there must be height abnormity and normal height. In this paper, based on the GPS survey and level material, the height abnormity is fitted by means of neural network method, and the fitting method which simulates the geoid (or quasi geoid). The fitting precision is analyzed and compared, some conclusions which have practice value are drawn.
出处
《测绘学院学报》
北大核心
2004年第4期256-258,共3页
Journal of Institute of Surveying and Mapping
关键词
神经网络
GPS高程
正常高
高程异常
高程转换
artificial neural network
GPS height
normal height
height abnormity
height conversion