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