不同高程异常模型在海洋测绘中的应用

The Application of Different Height Anomaly Fitting Model in Marine Surveying

针对海洋测绘中RTK三维水深测量技术需要将大地高转换到水准高的问题,介绍了二次曲面拟合与BP神经网络两种高程异常拟合模型在海洋测绘中的应用。采用宁波舟山区域数据利用MATLAB,实现了BP神经网络与二次曲面高程拟合两种高程拟合模型并对结果进行比较分析,同时利用传统潮位解析方法与两种模型进行分别进行对比,分析了两种模型的在海洋测绘中的精度。

The RTK three-dimensional depth measurement technology need to change from geodetic to normal height in Marine surveying,this paper introduces two abnormal height fitting models that the quadric surface fitting and the BP neural network in Marine surveying.The paper use the data from Ningbo and Zhoushan area,and simulate the BP neural network and the quadric surface elevation fitting model by MATLAB,and comparative analyze the results.At the same time,compared the tide level analytic method with the two fitting models respectively.Beside,analyzes the two models'precision in Marine surveying.