摘要
在现有研究的基础上,提出了一种基于松弛标记的不同比例尺面目标数据匹配方法,通过选取山东省某地区的居民地数据进行实验,验证该方法并与传统方法进行了比较,实验结果表明该方法有较高的精度,能够准确识别一对零、一对多和多对多等多种匹配情况。
Based on the existing researches, this paper proposes a data matching method of different scales using relaxation labeling. Then it selects residential data from some areas of Shandong Province to verify the effect of this method. The results show that this algorithm has higher matching precision and can accurately identify the matching situations such as one to zero, one to many and many to many.
出处
《科技创新与生产力》
2016年第4期89-92,共4页
Sci-tech Innovation and Productivity
关键词
松弛标记
空间数据匹配
目标合并
relaxation labeling
spatial data matching
targets merging
