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基于格网划分的海量DEM数据生成

Massive DEM Creation with Grid Partitioning Approach

  • 摘要: 在自适应格网划分的分割-合并Delaunay三角剖分算法、格网线性内插方法的基础上,提出基于格网划分的海量DEM数据生成算法.该算法执行效率较高,对计算机硬件配置要求较低,并适合于并行处理.

     

    Abstract: Applying divide-and-conquer Delaunay triangulation and GRID linear interpolation, a faster algorithm of massive DEM data creation is presented, which requires low computer configuration and fits for parallel processing.

     

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