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。
As the abundance of space data acquisition means and ways, the discrepancy ofmuhi - source data in data update has re- ceived mueh coneern. This paper proposes a similarity evaluation method for multi - source spatial data based on dynamic simplifica- tion. 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 resuks ,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.
出处
《测绘与空间地理信息》
2017年第7期99-103,共5页
Geomatics & Spatial Information Technology
基金
国家自然科学基金项目(41171305
41571442)资助
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
dynamic simplification
multi - source spatial data
data update
global similarity
evaluation index
