测绘通报 ›› 2018, Vol. 0 ›› Issue (3): 143-146.doi: 10.13474/j.cnki.11-2246.2018.0094

• 行业观察 • 上一篇    下一篇

多源异构POI融合方法及应用

吴张峰, 夏兰芳   

  1. 上海市测绘院, 上海 200063
  • 收稿日期:2018-01-10 出版日期:2018-03-25 发布日期:2018-04-03
  • 作者简介:吴张峰(1978-),男,硕士,研究方向为地理信息系统与应用。E-mail:zfwu@shsmi.cn

Study on the Method of Matching and Fusion of Multi-source POI

WU Zhangfeng, XIA Lanfang   

  1. Shanghai Surveying and Mapping Institute, Shanghai 200063, China
  • Received:2018-01-10 Online:2018-03-25 Published:2018-04-03

摘要:

针对不同来源的POI在数据格式、坐标参考、属性结构等方面存在差异的问题,提出了一种多源异构POI的融合方法。该方法首先将经过实测并质检的公开版地图数据做成一个母库;然后将其他来源的POI数据经过坐标统一后与母库进行空间位置和门址等属性信息的比对,将母库中没有的POI数据融合进去,最终形成内容规整、信息量丰富的POI融合库;最后进行基于空间约束关系的门址挂接,即使每一个POI点与对应的门牌建立关联关系,提升POI库的应用途径。试验结果表明,该方法能够实现多源POI数据的高效融合,与门址进行挂接后,可满足日益增加的LBS和基于地图的"点式"服务(即Location Point)的需求。

关键词: POI数据清洗, 母库, POI数据融合, 门址挂接

Abstract:

For the problem of differences among the data format,coordinate reference,attribute structure and other aspects of multi-source POI,this paper presents a method of matching and fusion of multi-source POI.This paper firstly emerges a base database using the surveying POI data,and then POI data of other sources are compared with the base database in aspects of locations and attributes,some POI is considered as the different data that will be merged to the base.Finally,this will form a new POI database with regular structure and abundant information.Experimental results show that the proposed method can achieve the matching and fusion of multi-source POI data,and satisfy the increasing demands of LBS and Location Point.

Key words: clean of POI data, base POI, POI fusion, doorplate link

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