基于GNSS的长江下游带状区域高程拟合方法研究OA

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..