摘要
分析了GPS高程异常求解的三种常用方法,对转换GPS高程的BP人工神经网络算法及模型结构进行了较详细的试验研究,结合GPS测量和水准测量资料,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 three methods of GPS elevation abnormal fitting in common use were analyzed,the method of GPS elevation abnormal fitting based on BP Neural Network and model structures were studied based on the GPS and Leveling data,some valuable conclusions were drawn from the analysis of the accuracy of conversion result.
出处
《地理空间信息》
2010年第4期48-51,共4页
Geospatial Information
基金
地理空间信息工程国家测绘局重点实验室开放基金资助项目(200821)
黑龙江工程学院院基金资助项目(Y08016)
关键词
GPS
大地高
正常高
高程异常
BP神经网络
GPS
ellipsoidal height
normal height
GPS elevation abnormal
Back Propagation neural network
