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- 2018
运用Delaunay三角网提取OpenStreetMap主干道多边形
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Abstract:
众源开放街道地图（OpenStreetMap，OSM）作为志愿者地理信息的典型代表，其数据质量制约了城市主干道提取。为此，引入约束Delaunay三角网，运用类似Voronoi图的空间等剖分几何构造表达道路线密度，通过线密度变化与三角形边长表征主干道形态特征，并集成两个指标构建主干道识别模型；类比林火蔓延扩展过程，提出了基于Delaunay三角网的OSM主干道多边形提取方法。运用5个城市的OSM数据进行实验，结果表明，该方法能有效提取主干道多边形，并且与OSM路网中的道路等级属性趋于一致
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