摘要
针对带不确定性的平差算法(least-square with uncertainty,ULS)中不确定度的选择问题,提出类L曲线法,并在位错模型中进行实验,解算位错参数。通过与LS和TLS的解算结果进行比较发现,ULS的解具有更高的精度,最高优于LS和TLS近60%。
This paper proposes a similar L-shaped curve method processing uncertainty selection problem of ULS,and then experiments on the dislocation model and calculating dislocation parameters.Finally,comparison of the result of ULS with those of LS and TLS,shows that ULS has higher precision,increased by nearly 60% over LS and TLS.
作者
肖兆兵
宋迎春
谢雪梅
XIAO Zhaobing;SONG Yingchun;XIE Xuemei(School of Geosciences and Info-Physics,Central South University,932 South-Lushan Road,Changsha 410083,China)
出处
《大地测量与地球动力学》
CSCD
北大核心
2018年第8期857-861,共5页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(41574006
41674009)~~
关键词
不确定性
总体最小二乘
带不确定性的平差
位错模型
uncertainties
total least-squares
least-squares with uncertainty
dislocation model
