基于特征矩阵和关联图的空间场景相似性度量方法  

Space Scene Similarity Metrics Based on Feature Matrix and Associated Graph

作　　者：陈占龙[1,2] 吕梦楼[1] 吴亮[1] 徐永洋[1] CHEN Zhanlong Lv Menglou WU Liang XU Yongyang(Department of Information Engineering,China University of Geosciences,State Key Laboratory of Geography Information Engineerin)

机构地区：[1]中国地质大学(武汉)信息工程学院,湖北武汉430074 [2]地理信息工程国家重点实验室,陕西西安710054

出　　处：《武汉大学学报（信息科学版）》2017年第7期956-962,共7页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(41401443);国家科技支撑计划(2011BAH06B04);地理信息工程国家重点实验室开放研究基金(SKLGIE2013-Z-4-1);武汉大学测绘遥感信息工程国家重点实验室开放研究基金(13I02);中央高校基本科研业务费专项(CUG160226)~~

摘　　要：为了解决包含不同实体数目的空间场景相似性度量问题,本文利用特征矩阵对空间场景进行描述,根据查询场景和数据库场景的特征矩阵生成场景关联图,利用关联图中的各种匹配圈获取空间场景集合,然后根据场景完整度和相似性度量模型计算场景集合中每个场景的匹配度,最后计算出最佳匹配场景,并对匹配结果进行分析评价。实验表明,该方法能够较好地度量不同实体数目的空间场景的相似性。In order to solve space scene similarity measure problem when the space scene contains differententity numbers,this article uses feature matrix to describe space scene,then it also uses the feature matrix of query scene and database scene to generate scene associated graph and uses the various matching circles of the associated graph to get space scene collection.After that,based on space scene completeness and similarity measure model for each scene of the scene collection,the matching degree will be calculated.Finally,we can get the best match scene and the matching results will be analyzed and evaluated.Experimental results show that this method can better measure the similarity space scene which contains differententity numbers.

关 键 词：特征矩阵 关联图 空间场景相似性 完整度 匹配度 

分 类 号：P208[天文地球—地图制图学与地理信息工程]