关于GPS高程转换方法研究及精度的分析

在开展GPS高程转换工作时,常用的转换方法主要有两种,分别是建立数字模型以及建立神经网络模型。这两项技术都涉及到对信息技术的应用,从实际工作情况来看,由于高程转换工作对数据精准度有着较高的要求,为了保证GPS高程转换工作的顺利开展,文章通过分析这两种方法的基本操作原理和相关注意事项,结合实际测量案例分析出了现阶段转换工作过程中存在的优势和不足之处。明确了高程转换精度的优化目标和优化方法,并制定出了科学合理的工作方案,以此来推动我国科技信息技术的发展进步。

When carrying out GPS elevation conversion,there are two commonly used conversion methods:digital model and neural network model.These two technologies are involved in the application of information technology,from the point of actual work situation,because of the elevation transformation work has a higher requirement on data accuracy,in order to ensure the smooth progress in GPS height conversion work,this paperanalyzes the basic operation principle of the two methods and relevant precautions,and according to the actual measurement,makes an analysis of the case out of the working process of the transformation in the existing advantages and disadvantages.In order to promote the development of science and technology information technology in our country,the optimization objective and optimization method of elevation conversion precision are clarified,and a scientific and reasonable work plan is worked out.