摘要
提出确定联合反演中相对权比的两步法。第1步是不考虑相对权比,建立两类或多类数据的联合反演模型,通过赫尔墨特方差分量估计使得两类或多类观测数据的单位权方差相等(或单位权方差的比值接近1),从而理论上确定观测数据合理的权阵,同时对不同种类数据进行归一化;第2步是在获得合理的观测数据权阵之后,建立顾及相对权比的联合反演模型,以目标函数值为最小来确定权比例因子。通过模拟数据,设计多个反演方案,证明两步法的有效性和可行性。
The two-step method to determine relative weight ratio factors in joint inversion is derived.In the first step,without considering relative weight ratio factors,the joint inversion model of two or more kinds of observation data is established.Through Helmert method of variance components estimation,unit weight variances of observation data are equal(or the ratio of unit weight variances is approximate to 1),and the reasonable and theoretical weight matrix is determined.At the sametime,different kinds of observation data are normalized.In the second step,on the base of reasonable weight matrix,the joint inversion model considering relative weight ratio factors is established.The relative weight ratio factors are determined when objective function is minimum.Through simulated data and several solutions,the effectiveness and feasibility of two-step method are proved.
出处
《测绘学报》
EI
CSCD
北大核心
2012年第1期19-24,共6页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(40874003
40974017
41074007
41021061)
国家863计划(2009AA12Z317)
国家公益地震行业科研专项(200808080)
教育部博士点基金(20090141110055)
东华理工大学地理空间信息采集处理及应用科技创新团队项目
关键词
联合反演
相对权比
两步法
赫尔墨特方差分量估计
单位权方差
joint inversion
relative weight ratio factors
two-step method
Helmert method of variance components estimation
unit weight variance