首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >PROGRESSIVE REPRESENTATION AND PROGRESSIVE GENERALIZATION OF STREET NETWORK VECTOR DATA
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PROGRESSIVE REPRESENTATION AND PROGRESSIVE GENERALIZATION OF STREET NETWORK VECTOR DATA

机译:街道网络矢量数据的渐进表示和渐进广义化

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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.
机译:街道网络矢量数据表示为常规封闭网络。常规封闭网络的组合结构是通过抽象单元复合体建模的。引用了两个抽象运算符和两个优化更新来定义街道消除运算符和街道优化运算符。提出了两种可供选择的渐进式表示模型,用于街道网络矢量数据。渐进表示模型中隐含拓扑一致性。有序的概括树结构可以看作是数据丰富化的一种形式。介绍了此结构的定义,构造和分支修剪。提出了基于这种结构的渐进泛化算法。该算法将地图泛化知识和特定的数据结构结合在一起,从而可以智能地实现泛化过程。

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