| 顾及结构和几何特征的道路自动选取方法 |
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| 引用本文： | 曹炜威,张红,何晶,蓝天.顾及结构和几何特征的道路自动选取方法[J].武汉大学学报(信息科学版),2017,42(4):520-524. |
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| 作者姓名： | 曹炜威 张红 何晶 蓝天 |
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| 作者单位： | 1.西南交通大学地球科学与环境工程学院, 四川 成都, 611756 |
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| 基金项目： | 国家自然科学基金41471383, 41101361中央高校科技创新基金SWJTU11CX063 |
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| 摘 要： | 提出了一种顾及结构和几何特征的道路网自动选取方法。综合考虑道路的度中心性、集聚系数和路划的几何长度等道路选取影响因素，提出一种道路重要性评价方法。实验结果表明，本文方法能够很好地保持选取道路网的整体与局部结构、拓扑结构以及路网连通性。基于该方法，由大比例尺地图选取出的小比例尺地图与相应标准比例尺地图保持较高的一致性，表明该方法是稳定可靠的。
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| 关 键 词： | 道路选取 集聚系数 度中心性 路划长度 地图综合 |
| 收稿时间： | 2015-09-17 |
Road Selection Considering Structural and Geometric Properties |
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| Institution: | 1.Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China2.School of Economics and Management, Southwest Jiaotong University, Chengdu 611756, China |
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| Abstract: | Generalization of road network is one of the focuses in map generalization, while selective omission is the most important problem in road network generalization. In recent years, many solutions have been proposed for road selective omission, but how to maintain the overall and key local structures of original networks has not been solved yet. Given this, an auto-selection method considering structural, and geometric properties of road networks is proposed. Degree of centrality, clustering coefficient and geometric length were taken into account in this approach. The method is based on dual graph generated by the strokes of road networks and then stroke length, degree of centrality and clustering coefficient were derived by means of network analysis. Feasibility and reliability of this approach were examined by a road selection process at different scales through comparing with benchmarks. An experiment shows that at given scales, roads selected by this approach were consistent with those selected by cartographers. This proposed process performs well not only in maintaining the global and local structures of the road networks, but also in keeping the topological structure in terms of road network connection from a large scale map to a small one. In summary, the method was proved to be stable and reliable. |
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