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一种顾及属性要素的地质图接边方法
引用本文:李雯静,石勇龙,胡丹.一种顾及属性要素的地质图接边方法[J].金属矿山,2017,46(6):132-136.
作者姓名:李雯静  石勇龙  胡丹
作者单位:武汉科技大学资源与环境工程学院,湖北 武汉 430081
摘    要:针对分幅制作的地质图在进行接边时常出现的地质界线不衔接、地质内容划分不统一等问题,提出了一种顾及属性要素的地质图接边方法。该方法综合考虑地质要素的空间邻近度和地质属性相似度,利用聚类分析的分类功能和粗糙集的权重计算功能对接边地质体进行分析计算,有助于解决地质图接边中存在的边界匹配问题。采用该方法对3幅1∶50 000地质图进行了图幅接边及匹配试验,结果表明:相较于传统地质图接边方法,所提方法考虑了接边地质体的拓扑关系、空间走向、地质属性等信息,应用范围更广,且图幅接边更准确、高效,为大比例尺地质图无缝数据库的建设提供了有力支撑。

关 键 词:地质图接边  粗糙集  聚类分析  属性要素  

A Geological Map Edge Matching Method Based on Considering Attributes Elements
Li Wenjing,Shi Yonglong,Hu Dan.A Geological Map Edge Matching Method Based on Considering Attributes Elements[J].Metal Mine,2017,46(6):132-136.
Authors:Li Wenjing  Shi Yonglong  Hu Dan
Affiliation:School of Resource and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China
Abstract:The geological boundary is not connected and geological content classification is not unified of the geological map produced by framing methods.According to the existing problems,a geological map edge matching method based on considering attributes elements is proposed.Based on comprehensive analysis of the spatial neighboring degree of geological elements and geological attribute similarity,the matching geological bodies are calculated by using the weight calculation functions of rough set and the classification function of cluster analysis method,therefore,the edge matching problems existed in the edge matching process of geological map can be solved effectively.The edge matching test based on three geological maps are conducted,the results show that compared with the traditional geological map edge matching method,the application range of the new method proposed in this paper is more large based on comprehensive consideration of the topological relations,spatial trends and geological properties of the matching geological body,besides that,the edge matching is more accurate and efficient than the traditional method,which is help for providing powerful support for the construction of large scale geological map seamless database.
Keywords:Edge matching of geological map  Rough set  Cluster analysis  Attribute element
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