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  • 标题:New algorithm model for processing generalized dynamic nonlinear data derived from deformation monitoring network
  • 本地全文:下载
  • 作者:Lin Xiangguo ; Liang Yong
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2005
  • 卷号:8
  • 期号:2
  • 页码:133-137
  • DOI:10.1007/BF02826853
  • 出版社:Taylor and Francis Ltd
  • 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.
  • 关键词:deformation monitoring; generalized nonlinear data processing; Marquardt method; parameter estimate
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