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文章基本信息

  • 标题:Progressive Representation and Generalization of Street Network Vector Data
  • 本地全文:下载
  • 作者:J. Tian
  • 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:2008
  • 卷号:XXXVII Part B2
  • 页码:439-444
  • 出版社:Copernicus Publications
  • 摘要:Street network vector data is represented as Regular Closed Network. The combinatorial structure of the Regular Closed Network is modelled through abstract cell complex. Two abstraction operators and two refinement updates are cited to define the street elimination operator and street refinement operator. Two alternative progressive representation models for street network vector data are proposed. Topological consistency is implicit in the progressive representation models. The ordered generalization tree structure can be seen as a form of data enrichment. The definition, construction and branch-pruning of this structure are introduced. The progressive generalization algorithm based on this structure is proposed. This algorithm brings together the map generalization knowledge and the specific data structure, in such a way that the generalization process can be implemented intelligently
  • 关键词:Cartography; Generalization; Representation; Model; Data Structures; Algorithms
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