基于数据匹配的建筑物群典型化快速算法

Rapid Algorithm of Building Typification Based on Data Matching

  • 摘要: 分析了多尺度数据库和在线综合集成的途径与网格简化技术的矛盾及改进方法,提出了基于多尺度数据匹配的建筑物群典型化算法。算法基于分治原则,将整个图面空间划分为多个分区,每个分区进而划分为多个簇,以簇为单元,支持并行计算。此方法快速有效,适于网络制图。

     

    Abstract: An algorithm for building typification based on data matching between multi-scale databases is proposed.The algorithm is based on the dividing and conquering strategy.The whole map sheet is divided into several parts by road network.Each part is divided into several clusters by means of spatial clustering.The cluster is the basic process unit of building typification.The algorithm supports parallel process and is rapid,effective and adapted to Web mapping.

     

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