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  • 标题:GENERALIZATION BASED ON LEAST SQUARES ADJUSTMENT
  • 本地全文:下载
  • 作者:Monika Sester
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B4 (/1-3)
  • 页码:931-938
  • 出版社:Copernicus Publications
  • 摘要:The paper presents solutions for generalization problems using least squares adjustment theory. This concept allows for the introduction of several observations in terms of constraints and for a holistic solution of all these – possibly contrary and competing – constraints. Two examples are used to demonstrate the validity of this approach: the simplification of building ground plans and the displacement of arbitrary cartographic objects. Each approach is verified with several examples; furthermore, the integration of these different approaches is presented, in terms of the fusion of cadastral and topographic data
  • 关键词:Generalization; Data Aggregation; Multi-Scale Database; GIS - Spatial Databases
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