全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2018 

结构化居民地群的多层次识别方法
A Multilevel Identification Approach to Structured Building Clusters

DOI: 10.13203/j.whugis20160239

Keywords: 中间比例尺,多层次,典型模式,紧密性网络图,结构化,
intermediate-scales
,multi-level,typical pattern,compactness network diagram,structu-rization

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对比例尺跨度较大(10倍甚至50倍)的情况,现有的聚类方法较难体现居民地的渐进合并过程。拟在初始数据源比例尺和综合后地图比例尺之间内插系列中间比例尺,在多层次上进行居民地群的识别。根据空间认知原理和格式塔视觉准则,将居民地群的空间结构概括为5种典型模式,并定义了各模式约束条件,提出了基于紧密性网络与典型模式相结合的结构化居民地群识别方法。首先,通过Delaunay三角网对大比例尺居民地要素进行邻近关系识别,建立紧密性网络图,判断强闭合环路、弱闭合环路和延伸线,识别群结构中的各类典型模式。然后对识别出的群结构进行综合处理,依据设定阈值处理得到中间各级比例尺数据,从而实现多尺度空间数据的连续可视化。实验表明,利用该方法识别出的结果能够体现居民地群的空间分布特征,更加符合人的认知习惯

References

[1]  Li Z L, Yan H W, Ai T H, et al. Automated Building Generalization Based on Urban Morphology and Gestalt Theory[J]. International Journal of Geographical Information Science, 2004, 18(5):513-534
[2]  Gong Xianyong, Wu Fang. The Graph Theory Approach to Grid Pattern Recognition of Urban Buil-ding Groups[J]. Acta Geodaetica et Catographica Sinica, 2014, 43(9):960-968(巩现勇, 武芳. 城市建筑群网格模式的图论识别方法[J]. 测绘学报, 2014, 43(9):960-968)
[3]  Liu Huimin, Deng Min, Fan Zide, et al. A Characteristic-Based Approach to Measuring Spatial Information Content of the Settlements in a Map[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(10):1092-1098(刘慧敏, 邓敏, 樊子德, 等. 地图上居民地空间信息的特征度量法[J]. 测绘学报, 2014, 43(10):1092-1098)
[4]  Yang W.Identify Building Patterns[J]. Internatio-nal Archives of the Photogrammetry, Remote Sen-sing and Spatial Information Sciences, 2008, 37:391-397
[5]  Dan L, Hardy P. Analyzing and Deriving Geographic Contexts for Generalization[C]. The 23rd International Cartographic Conference:Cartography for Everyone and for You, Moscow, Russia, 2007
[6]  Mackaness W, Edwards G.The Importance of Mo-delling Pattern and Structures in Automated Map Generalisation[C]. Joint ISPRS/ICA Workshop on Multi-scale Representation of Spatial Data, Ottawa, Canada, 2002
[7]  Regnauld N. Recognition of Building Clusters for Generalization[C]. The 7th International Sympo-sium on Spatial Data Handling, Delft, the Netherlands, 1996
[8]  Regnauld N. Contextual Building Typification in Automated Map Generalization[J]. Algorithmica, 2001, 30(2):312-333
[9]  Yan Haowen, Ying Shen, Li Lin. An Approach for Automated Building Grouping and Generalization Considering Multiple Parameters[J]. Geomatics and Information Science of Wuhan University, 2008, 33(1):51-54(闫浩文, 应申, 李霖. 多因子影响的地图居民地自动聚群与综合研究[J]. 武汉大学学报·信息科学版, 2008, 33(1):51-54)
[10]  Duchêne C, Bard S, Barillot X. Quantitative and Qualitative Description of Building Orientation[C]. The 5th ICA Workshop on Progress in Automated Map Generalization, Paris, France, 2003
[11]  Zhang X, Ai T H, Stoter J, et al. Building Pattern Recognition in Topographic Data:Examples on Collinear and Curvilinear Alignments[J]. GeoInformatica, 2013, 17(1):1-33
[12]  Christophe S, Ruas A. Detecting Building Alignments for Generalisation Purposes[M]//Advances in Spatial Data Handling. Berlin, Heidelberg:Springer, 2002
[13]  Zhang X, Ai T H, Stoter J. Characterization and Detection of Building Patterns in Cartographic Data:Two Algorithms[M]//Advances in Spatial Data Handling and GIS. Berlin, Heidelberg:Springer, 2012
[14]  Zhang X, Stoter J, Ai T H, et al. Automated Eva-luation of Building Alignments in Generalized Maps[J]. International Journal of Geographical Information Science, 2013, 27(8):1550-1571
[15]  Thomson R C, Richardson D E. The "Good Conti-nuation" Principle of Perceptual Organization Applied to the Generalization of Road Networks[C]. The 19th ICC, Ottawa, Canada, 1999
[16]  Zhang Qiang, Wu Fang, Qian Haizhong, et al. Milestone Scales Oriented Spatial Data Multi-representation Techniques[J]. Journal of Geomatics Science and Technology, 2011, 28(5):383-386(张强, 武芳, 钱海忠, 等. 基于关键比例尺的空间数据多尺度表达[J]. 测绘科学技术学报, 2011, 28(5):383-386)
[17]  Ai Tinghua, Guo Renzhong. Polygon Cluster Pattern Mining Based on Gestalt Principles[J]. Acta Geodaetica et Catographica Sinica, 2007, 36(3):302-308(艾廷华, 郭仁忠. 基于格式塔识别原则挖掘空间分布模式[J]. 测绘学报, 2007, 36(3):302-308)
[18]  Liu Yuangang, Guo Qingsheng, Sun Yageng, et al. An Algorithm for Skeleton Extraction Between Map Objects[J]. Geomatics and Information Science of Wuhan University, 2015, 40(2):264-268(刘远刚, 郭庆胜, 孙亚庚, 等. 地图目标群间骨架线提取的算法研究[J]. 武汉大学学报·信息科学版, 2015, 40(2):264-268)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133