一种基于复杂网络的道路匹配方法

发布时间：2018-05-13 05:15

  本文选题：道路 + 同名实体匹配　； 参考：《测绘科学技术学报》2016年01期

【摘要】：为了满足用户对数据现势性的要求,应当保证道路数据的及时准确更新,其关键是对同名道路数据进行匹配。鉴于对道路进行整体分析,道路的形状特征变得尤为重要,因此提出了基于复杂网络的道路匹配方法。该方法利用复杂网络理论分析每条道路的形状特性,得到相关的形状参数,再结合距离、方向等指标的参数计算得到总的相似度,从而选出最佳的匹配道路。这种方法计算简单,对道路的形状特征能很好地描述,并能很快地从候选匹配道路中识别出匹配道路。实验结果表明,将该方法用于道路匹配具有较高的准确率和可靠性。
[Abstract]:In order to meet the needs of the users, the road data should be updated in a timely and accurate manner, and the key is to match the road data of the same name. In view of the overall analysis of the road, the shape feature of the road becomes particularly important, so a road matching method based on complex network is proposed. The method uses the complex network theory to analyze the shape characteristics of each road, and obtains the relevant shape parameters, and then calculates the total similarity by combining the parameters of distance and direction, so as to select the best matching road. This method is simple to calculate and can describe the shape features of the road very well, and can quickly identify the matching road from the candidate matching road. The experimental results show that this method has high accuracy and reliability in road matching.
【作者单位】： 信息工程大学;
【基金】：国家自然科学基金项目(41101362;41171354)
【分类号】：P208
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本文编号：1881808