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基于动态化简的多源数据相似性评估
引用本文:谢丽敏,钱海忠,陈竞男,何海威,刘闯.基于动态化简的多源数据相似性评估[J].测绘与空间地理信息,2017,40(7).
作者姓名:谢丽敏  钱海忠  陈竞男  何海威  刘闯
作者单位:信息工程大学 地理空间信息学院,河南 郑州,450000
摘    要:随着空间数据获取手段和途径的丰富,多源数据的差异性对数据更新的影响一直备受关注。本文提出一种基于动态化简的多源空间数据相似性评估方法。首先,将多个来源数据分别与参考数据用传统方法进行匹配;其次,利用加入动态化简的匹配方法对多源数据重新匹配;最后,分析上述两次匹配结果的差异,从数据匹配的角度出发,通过整体一致性和数据详细程度评估对数据匹配质量进行对比,根据获取的评估结果实现更新数据的选择。通过实验和分析,验证了本文方法的科学性和可操作性。

关 键 词:动态化简  多源空间数据  数据更新  整体相似性  评估指标

Similarity Evaluation Method of Multi-source Data Based on Dynamic Simplification
XIE Li-min,QIAN Hai-zhong,CHEN Jing-nan,HE Hai-wei,LIU Chuang.Similarity Evaluation Method of Multi-source Data Based on Dynamic Simplification[J].Geomatics & Spatial Information Technology,2017,40(7).
Authors:XIE Li-min  QIAN Hai-zhong  CHEN Jing-nan  HE Hai-wei  LIU Chuang
Abstract:As the abundance of space data acquisition means and ways, the discrepancy ofmulti-source data in data update has received much concern.This paper proposes a similarity evaluation method for multi-source spatial data based on dynamic simplification.Firstly,the traditional method for multi-source data and reference data is used as a control experiment;Secondly,by using the method of dynamic simplification, the multi-source data is rematches;Finally,from the view of the data matching, by analyzing the difference between two matching results,the data matching quality is compared through the evaluation of global consistency and data detail degree.According to the results of the evaluation, the choice of update data is achieved.Through the experiment and analysis, the scientific nature and operability of this method was verified.
Keywords:dynamic simplification  multi-source spatial data  data update  global similarity  evaluation index
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