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特征驱动下区实体匹配指标自适应融合技术
引用本文:叶亚琴,陈波,万波,周顺平.特征驱动下区实体匹配指标自适应融合技术[J].测绘科学,2012,37(6):101-103.
作者姓名:叶亚琴  陈波  万波  周顺平
作者单位:1. 中国地质大学(武汉)信息工程学院,武汉,430074
2. 武汉中地数码有限公司,武汉,430074
基金项目:国家863项目,中央高校基本科研业务费专项资金资助项目,教育部地理信息系统软件及其应用工程研究中心开放课题
摘    要:空间实体匹配过程中多个指标的融合问题是影响匹配效果的关键问题之一。本文针对这一问题,以区实体为例提出了一套基于范例库的解决方案。首先提取出影响实体匹配的数据特征因子并确定了量化方法,其次选取典型的匹配指标,接下来通过建立指标权值范例库确定各指标权值,最后根据权值和数据特征因子调整匹配过程。该方法使得数据具有学习能力,达到了指标权值的自适应性的目标。实验表明该方法可行,并且可以提升空间实体匹配算法的效率、准确度和智能化程度。

关 键 词:实体匹配  指标融合  自适应

Adaptive fusion technology of match indicators on area entity driven by data characteristics
YE Ya-qin , CHEN Bo , WAN Bo , ZHOU Shun-ping.Adaptive fusion technology of match indicators on area entity driven by data characteristics[J].Science of Surveying and Mapping,2012,37(6):101-103.
Authors:YE Ya-qin  CHEN Bo  WAN Bo  ZHOU Shun-ping
Institution:①(①Faculty of Information Engineering,China University of Geosciences(Wuhan),Wuhan,430074,China;②Wuhan Zondy Cyber Group Co.,Ltd.,Hubei 430074,China)
Abstract:The fusion of multiple indicators in spatial entities matching process is one of the key issues that affects the match effects.A solution based on sample libraries about area entities was proposed in the paper.First,the data match-related characteristics were extracted and the quantitative methods were determined.Second,typical match indicators were selected.Next,through the establishment of sample library,the weights of each indicator were determined.Finally according to the characteristics factors and weights the matching process was adjusted.This solution makes could data with ability to learn,to achieve the goal of indicator weights self-adaptivity.Experiments showed that the method is feasible and could improve the efficiency of spatial entities matching algorithms with high,accuracy and intelligence.
Keywords:object match  indicators fusion  self-adaptive
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