空白区域对点群相似性特征因子的影响Blank area's influence on the similarity characteristic factors for point cluster
段晓旗;刘涛;武丹;邵达青;
摘要(Abstract):
针对空白区域对点群相似性特征因子的影响,该文首先综述相关研究文献并整合影响点群相似性的要素,包括拓扑关系、方向关系、距离关系和分布范围;然后通过自适应聚类方法提取点群目标中的空白区域。通过对考虑空白区域与未考虑空白区域点群目标之间的拓扑关系、方向关系、距离关系和分布范围的相似度计算并进行对比,发现点群中的空白区域对点群的拓扑关系之间的相似度计算影响较小,对点群的方向关系、距离关系和分布范围的相似度计算影响较大。
关键词(KeyWords): 点群;相似性;空白区域;特征因子
基金项目(Foundation): 国家重点研发计划资助项目(2016YFC0803106);; 国家自然科学基金项目(41201476);; 地理空间信息工程国家测绘局重点实验室开放研究基金项目(201409)
作者(Authors): 段晓旗;刘涛;武丹;邵达青;
DOI: 10.16251/j.cnki.1009-2307.2016.12.016
参考文献(References):
- [1]闫浩文,褚衍东.多尺度地图空间相似关系基本问题研究[J].地理与地理信息科学,2009,25(4):42-44.
- [2]刘涛,杜清运,闫浩文.空间点群目标相似度计算[J].武汉大学学报:信息科学版,2011,36(10):1149-1153.
- [3]BRUNS H T,EGENHOFER M J.Similarity of spatial scenes[J].The Symposium on Spatial Data Handling,1998(8):31-42.
- [4]JANOWICZ K,RAUBAL M,KUHN W.The semantics of similarity in geographic information retrieval.[J].Journal of Spatial Information Science,2011,2(2):29-57.
- [5]毋河海.凸壳原理在点群目标综合中的应用[J].测绘工程,1997,6(1):1-6.
- [6]艾廷华,帅赟,李精忠.基于形状相似性识别的空间查询[J].测绘学报,2009,38(4):356-362.
- [7]丁虹.空间相似性理论与计算模型的研究[D].武汉:武汉大学,2004.
- [8]郭庆胜,杜晓初.模糊面元素空间拓扑关系抽象化方法研究[J].测绘学报,2004,33(4):307-310.
- [9]邓敏.空间聚类分析及应用[M].北京:科学出版社,2011.
- [10]MILLER H J.Geographic data mining and knowledge discovery[M].Berlin:Taylor&Francis,2001.
- [11]STEINBACH M,KLOOSTER S,TORREGROSA A,et al.Clustering earth science data:goals,issues and results[C/OL].[2016-09-27].https://www.researchgate.net/publication/2488738_Clustering_Earth_Science_Data_Goals_Issues_and_Results.
- [12]BIRANT D,KUT A.ST-DBSCAN:an algorithm for clustering spatial-temporal data[J].Data&Knowledge Engineering,2007,60(1):208-221.
- [13]MACQUEEN J.Some methods for classification and analysis of multivariate observations[C]//Proc.of Berkeley Symposium on Mathematical Statistics and Probability.[S.l.]:[s.n.],1967:281-297.
- [14]NG R T,HAN J.CLARANS:a method for clustering objects for spatial data mining[J].IEEE Transactions on Knowledge&Data Engineering,2002,14(5):1003-1016.
- [15]ESTIVILL-CASTRO V,LEE I.Multi-level clustering and its visualization for exploratory spatial analysis[J].Geoinformatica,2002,6(2):123-152.
- [16]GUHA S,RASTOGI R,SHIM K.Cure:an efficient clustering algorithm for large databases[J].Information Systems,1998,26(1):35-58.
- [17]NOSOVSKIY G V,LIU D,SOURINA O.Automatic clustering and boundary detection algorithm based on adaptive influence function[J].Pattern Recognition,2008,41(9):2757-2776.
- [18]ESTER M,KRIEGEL H P,JIIRG S,et al.A densitybased algorithm for discovering clusters in large spatial databases with noise[C]//The 2nd International Conference on Knowledge Discovery and Data Mining.[S.l.]:[s.n.],2008:226-231.
- [19]PEI T,JASRA A,HAND D J,et al.DECODE:a new method for discovering clusters of different densities in spatial data[J].Data Mining&Knowledge Discovery,2009,18(3):337-369.
- [20]郭庆胜.空间推理与渐进式地图综合[M].武汉:武汉大学出版社,2007.
- [21]王中辉.多边形主骨架线提取算法的设计与实现[J].地理与地理信息科学,2011,27(1):42-44.
- [22]艾廷华,刘耀林.保持空间分布特征的群点化简方法[J].测绘学报,2015,31(2):175-181.