测绘通报 ›› 2018, Vol. 0 ›› Issue (12): 79-82,86.doi: 10.13474/j.cnki.11-2246.2018.0388

• 技术交流 • 上一篇    下一篇

利用RBF实现线状工程中GNSS高程转换的精度分析

陈智伟1, 张兴福1, 胡波1, 刘成2   

  1. 1. 广东工业大学测绘工程系, 广东 广州 510006;
    2. 中国铁路设计集团有限公司, 天津 300251
  • 收稿日期:2018-03-23 修回日期:2018-05-07 出版日期:2018-12-25 发布日期:2019-01-03
  • 作者简介:陈智伟(1994-),男,硕士生,主要从事大地测量数据处理的相关研究。E-mail:zwchen1994@163.com
  • 基金资助:
    国家自然科学基金(41674006)

Using RBF to Analyze the Accuracy of GNSS Height Transformation in Linear Engineering

CHEN Zhiwei1, ZHANG Xingfu1, HU Bo1, LIU Cheng2   

  1. 1. Department of Surreying and Mapping Engineering of Guangdong University of Technology, Guangzhou 510006, China;
    2. China Railway Design Corporation, Tianjin 300251, China
  • Received:2018-03-23 Revised:2018-05-07 Online:2018-12-25 Published:2019-01-03

摘要: 高程异常的转换精度是限制GNSS实现快速高程测量的关键因素之一,因此构建合理的高程异常转换模型具有重要意义。本文以美国GSVS2011项目的GNSS/水准数据为例,对利用RBF实现GNSS高程转换方法展开研究,详细分析了Thinplate(T)、Cubic(C)、Gaussian(G)、Multiquadrics(M)、Linear(L)5种RBF核函数的高程转换精度。试验结果表明:①在点间距较小的情况下,5种核函数均能获得较高的拟合精度;②T、C、M这3种核函数拟合效果较优,而且超过95.3%的拟合高差满足四等水准测量的限差要求;③在高程异常变化较为平坦的测区,用RBF拟合时建议点间距不宜大于30 km。

关键词: GNSS高程转换, 高程异常, RBF, 精度分析

Abstract: The application of GNSS rapid height measurement is mainly affected by accuracy of height anomaly transformation. Therefore, it is rather important to construct a reasonable height anomaly transformation model.This paper discusses the RBF method of GNSS height transformation with GSVS2011 GNSS/leveling data in the United States,the accuracy of height transformation based on five RBF kernel functions such as Thinplate (T),Cubic (C),Gaussian (G),Multiquadrics (M),Linear (L) is analyzed in details.The experimental results show that ①When the distance between GNSS/leveling points is small,the five kernel functions can also obtain higher fitting accuracy.②Three kinds of kernel functions(T、C、M) have a better fitting effect,and more than 95.3% of the fitted height difference meets fourth-order level tolerance.③It is suggested that the point interval should not be greater than 30 km in the survey area where the height anomaly changes relatively flatly when fitting with RBF.

Key words: GNSS height transformation, height anomaly, RBF, accuracy analysis

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