基于信息扩散估计的水陆水准测量数据融合处理方法  

Land and Water Leveling Data Fusion Processing Method Based on Information Spread Estimation

作　　者：张浩 赵仲荣[1] 梅红[1] 孙钰斌 夏成洋 ZHANG Hao;ZHAO Zhongrong;MEI Hong;SUN Yubin;XIA Chengyang(School of Earth Sciences and Engineering,Hohai University,Nanjing 211100,China;CCCC Tunnel Engineering Bureau Co.,Ltd.,Shield Branch,Beijing 100000,China)

机构地区：[1]河海大学地球科学与工程学院,江苏南京211100 [2]中交隧道工程局有限公司盾构分公司,北京100000

出　　处：《甘肃科学学报》2022年第2期11-14,22,共5页Journal of Gansu Sciences

基　　金：中央高校基本科研业务费专项资金(2019B41214)。

摘　　要：针对陆地几何水准与跨江测距三角高程水准网联合平差中,经验定权并未考虑各观测高差中观测条件及作业环境影响等关键因素,通过两类水准测段往返高差之差值作为观测数据子集信息,应用概率密度函数分布估计赋予权值进行联合平差,能有效达到抗差效果,提高水陆水准测量数据的融合度,对大型跨江桥隧工程精确合龙和贯通具有很好的参考及应用价值。In the combined adjustment of land geometric leveling and cross-river trigonometric leveling network,the key factors such as observation conditions and operation environment are not considered in the empirical weight determination.Taking the difference between two kinds of leveling sections as the subset information of observation data,the probability density function distribution estimation is applied to assign weights to carry out the combined adjustment,which can effectively achieve the effect of robust adjustment,improve the fusion degree of land and water leveling data.It also has a good reference and application value for the accurate closure and connection of large cross-river bridge and tunnel engineering.

关 键 词：经验定权 信息扩散估计 水陆水准 数据融合处理 抗差性 

分 类 号：P224[天文地球—大地测量学与测量工程]