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Research on Spatial Data Line Generalization Algorithm in Map Generalization

机译:地图综合中的空间数据线综合算法研究

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摘要

Map Generalization is one of the hotspot issues in GIS. It is the most imperative field for intelligence in GIS. The uncertainty and data quality of map generalization should be attached importance to in map generalization. The conventional methods of process of line generalization in map generalization are be introduced in this paper, and analysis decline in the quality of integrated because of uncertainty of method on process of line generalization currently. Author introduced the curve fit algorithm about line generalization in map generalization, then analysed it in detail. Curve fit algorithm is better than conventional algorithm through analysis of experimental data.
机译:地图通用化是GIS中的热点问题之一。这是GIS中最重要的智能领域。在地图综合中应重视地图综合的不确定性和数据质量。介绍了地图综合中线综合处理的常规方法,分析了目前由于线综合处理方法的不确定性导致综合质量下降的问题。作者介绍了地图综合中关于线综合的曲线拟合算法,然后对其进行了详细分析。通过对实验数据的分析,曲线拟合算法优于传统算法。

著录项

  • 来源
    《Journal of software》 |2011年第2期|p.241-248|共8页
  • 作者单位

    School of Info-Physics and Geometries Engineering, Central South University, Changsha, China, Faculty of Geoscience and Geomatics, East China Institute of Technology, Fuzhou, China ,School of Info-Physics and Geometries Engineering, Central South University, Changsha, China, Faculty of Geoscience and Geomatics, East China Institute of Technology, Fuzhou, China;

    Faculty of Geoscience and Geomatics, East China Institute of Technology, Fuzhou, China;

    Faculty of Geoscience and Geomatics, East China Institute of Technology, Fuzhou, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    curve fit; map generalization; line generalization; auto choice;

    机译:曲线拟合地图概括行概括;自动选择;

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