摘要
针对经典最小二乘平差无法顾及水准网中系统误差的问题,尝试利用半参数模型来对水准网进行平差。由于半参数模型中含有描述系统误差的非参数向量,因此能顾及系统误差对平差结果的影响。文中算例结果表明,利用半参数模型进行水准网平差可以获得优于经典最小二乘的平差结果。
For the classical least squares adjustment can not take into account the system error in the leveling network,try to use the semi-parametric model to adjust the leveling network.Since the semi-parametric model contains non-parametric vectors describing the systematic errors,the effect of systematic errors on the adjustment results can be taken into account.The results of examples in the paper show that the leveling network can be adjusted better than the classical least squares using the semiparametric model.
作者
雷前坤
张俊
Lei Qiankun;Zhang Jun(Mining College,Guizhou University,Guiyang 550025,China)
出处
《城市勘测》
2019年第2期136-138,共3页
Urban Geotechnical Investigation & Surveying
基金
贵州省科学技术基础研究计划项目(黔科合基础[2017]1054)
贵州大学引进人才科研项目(贵大人基合字[2016]051)
贵州大学测绘科学与技术研究生创新基地建设项目(贵大研CXJD[2014]002)
关键词
半参数模型
经典最小二乘
水准网
平差
semi-parametric model
classical least squares
leveling network
adjustment