摘要
The processing of nonlinear data was one of hot topics in surveying and mapping field in recent years. As a result, many linear methods and nonlinear methods have been developed. But the methods for processing generalized nonlinear surveying and mapping data, especially for different data types and including unknown parameters with random or nonrandom, are seldom noticed. A new algorithm model is presented in this paper for processing nonlinear dynamic multiple-period and multiple-accuracy data derived from deformation monitoring network.
The processing of nonlinear data was one of hot topics in surveying andmapping field in recent years. As a result, many linear methods and nonlinear methods have beendeveloped. But the methods for processing generalized nonlinear surveying and mapping data,especially for different data types and including unknown parameters with random or nonrandom, areseldom noticed. A new algorithm model is presented in this paper for processing nonlinear dynamicmultiple-period and multiple-accuracy data derived from deformation monitoring network.
关键词
形变监视
广义非线性数据处理
马夸特法
参数估计
工程测量
deformation monitoring
generalized nonlinear data processing
Marquardtmethod
parameter estimate
