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-  2018 

网络空间向量剖分法识别城市路网网格模式
Grid Pattern Recognition in Street Network Space by Vector Tessellation Method

DOI: 10.13203/j.whugis20150757

Keywords: 道路网络空间,网格模式,空间剖分,特征提取,SVM,
street network space
,grid pattern,spatial tessellation,feature extraction,SVM

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Abstract:

将道路网络空间视为嵌在2D空间中的独立子空间,利用形态单一的线性单元剖分图结构的边,实现网络空间的栅格化;提取网格模式的典型特征,包括几何和拓扑特征,以栅格单元邻域为目标计算特征值,构建特征向量描述栅格单元,实现对象空间到特征空间的映射,构建空间向量场;基于支持向量机(support vector machine,SVM)实现网格模式分类;结合格式塔原则完善实验结果。将此方法应用于深圳市路网数据,实验结果表明能有效地识别网格模式

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