科技创新与应用2024，Vol.14Issue(2)：16-19,4.DOI:10.19981/j.CN23-1581/G3.2024.02.004
基于GNSS的长江下游带状区域高程拟合方法研究
高尚 1金犇 1郭凯1
作者信息
- 1. 长江水利委员会水文局长江下游水文水资源勘测局,南京 210011
- 折叠
摘要
Abstract
This paper aims to investigate the issue of GNSS point elevation fitting methods in a large-scale belt-shaped region along the Yangtze River.Two elevation fitting methods,namelyquadratic polynomial and BP neural network fitting,are examined,and a comparative analysis is conducted on the elevation fitting results in the same large-scale belt-shaped region downstream of the Yangtze River.The results indicate that for the wide belt-shaped region considered in this paper,under the condition of evenly distributed GNSS points,both fitting methods yield similar calculation errors.Besides,the BP neural network fitting achieves higher accuracy in terms of internal and external conformity,demonstrating better adaptability and stronger generalization ability.The findings of this study can provide reference for related fields..关键词
长江下游/带状区域/高程异常/高程拟合/二次曲面拟合/BP神经网络Key words
lower reaches of the Yangtze River/belt-shaped/elevation anomaly/elevation fitting/Quadratic fitting/BP neural network分类
天文与地球科学引用本文复制引用
高尚,金犇,郭凯..基于GNSS的长江下游带状区域高程拟合方法研究[J].科技创新与应用,2024,14(2):16-19,4.
