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| 基于相似度计算的室内兴趣点匹配方法 | |
| 引用本文： | 张寅宝,张威巍. 基于相似度计算的室内兴趣点匹配方法[J]. 测绘与空间地理信息, 2017, 0(2): 5-8. DOI: 10.3969/j.issn.1672-5867.2017.02.002 |
| 作者姓名： | 张寅宝 张威巍 |
| 作者单位： | 信息工程大学,河南郑州,450001 |
| 基金项目： | 河南省科技攻关计划项目，国家863计划资助项目 |
| 摘 要： | 为了解决室内兴趣点数据更新的准确匹配问题,本文提出了基于定位点坐标、名称和地址进行相似度计算的综合匹配方法,并介绍了该方法的实施步骤与流程,通过试验评价了不同相似度计算方法的匹配效果。结果表明,该方法具有可用性,得到的参考阈值可为室内分布密集、种类繁多的兴趣点的快速更新提供技术支持。 |
| 关 键 词： | 室内兴趣点 相似度计算 查准率 相对查全率 匹配阈值 |
Indoor Point of Interest Matching Method Based on Similarity Computation |
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| ZHANG Yin-bao,ZHANG Wei-wei. Indoor Point of Interest Matching Method Based on Similarity Computation[J]. Geomatics & Spatial Information Technology, 2017, 0(2): 5-8. DOI: 10.3969/j.issn.1672-5867.2017.02.002 | |
| Authors: | ZHANG Yin-bao ZHANG Wei-wei |
| Abstract: | To solve accuracy matching problem of indoor point of interest data update,a comprehensive matching method based on similarity computation of location point coordinate,name and address is proposed firstly.Then,implementation steps are introduced.Finally,matching results of different similarity computation methods are measured by experiments.Conclusions show that this matching method is useful and reference thresholds will provide technical support for intensive distribution and great variety indoor point of interestrapidupdate. |
| Keywords: | indoor point of interest similarity computation precision relative recall matching threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |