规则池塘群的复杂直线模式识别

doi:10.11947/j.AGCS.2020.20190030

摘要/Abstract

摘要： 针对现有面要素直线模式识别方法难以解决规则池塘中破碎区域的问题，提出了一种规则池塘群的复杂直线模式识别方法。首先，分析了规则池塘群的空间特征和认知特点，提出了"主次关系→并列关系→直线模式→复杂直线模式"的多层次认知顺序；其次，设计了主次关系池塘组、并列关系池塘组、直线模式池塘群的识别方法；最后，构建了复杂直线模式池塘群的识别模型。试验表明：本文方法能够消除破碎区域对规则池塘群直线模式提取的不利影响，有效提升复杂直线模式识别的质量。

关键词: 制图综合, 模式识别, 多层次认知, 主次关系, 复杂直线模式

Abstract: The existing polygon linear pattern recognition method is incapable facing to the broken area in the regular pond group. In order to solve the problem, a complex linear pattern recognition method for the regular pond group is proposed. Firstly, the spatial characteristics and cognitive characteristics of the regular pond group are analyzed, and the multi-level cognitive order, which is from major-and-minor relationship, parallel relationship, linear pattern to complex linear pattern, is proposed. Secondly, the identification methods of major-and-minor relationship, parallel relationship, and linear pattern are designed. Finally, the identification model of complex linear pattern pond group is constructed. Experiments show that the proposed method can eliminate the adverse effects of broken area on the linear pattern extraction of regular pond groups, and effectively improve the quality of complex linear pattern recognition.

Key words: cartographic generalization, pattern recognition, multi-level cognition, major-and-minor relationship, complex linear pattern

中图分类号:

P208

刘呈熠, 武芳, 巩现勇, 行瑞星, 罗登瀚. 规则池塘群的复杂直线模式识别[J]. 测绘学报, 2020, 49(2): 256-266.

LIU Chengyi, WU Fang, GONG Xianyong, XING Ruixing, LUO Denghan. Complex linear pattern recognition for regular pond groups[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(2): 256-266.

参考文献

[1] 张青年. 顾及密度差异的河系简化[J]. 测绘学报, 2006, 35(2):191-196. DOI:10.3321/j.issn:1001-1595.2006.02.018. ZHANG Qingnian. Generalization of drainage network with density differences[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(2):191-196. DOI:10.3321/j.issn:1001-1595.2006.02.018.
[2] 艾廷华, 刘耀林, 黄亚锋. 河网汇水区域的层次化剖分与地图综合[J]. 测绘学报, 2007, 36(2):231-236, 243. DOI:10.3321/j.issn:1001-1595.2007.02.020. AI Tinghua, LIU Yaolin, HUANG Yafeng. The hierarchical watershed partitioning and generalization of river network[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(2):231-236, 243. DOI:10.3321/j.issn:1001-1595.2007.02.020.
[3] 刘民士, 龙毅, 费立凡, 等. 顾及三维形态特征的河流曲线化简方法[J]. 武汉大学学报(信息科学版), 2018, 43(3):385-391. LIU Minshi, LONG Yi, FEI Lifan, et al. Line simplification of river considering three-dimensional shape characteristics[J]. Geomatics and Information Science of Wuhan University, 2018, 43(3):385-391.
[4] 黄琦. 湖泊自动综合的研究与实现[D]. 郑州:信息工程大学, 2005. HUANG Qi. Research and implementation of automatic lake integration[D]. Zhengzhou:Information Engineering University, 2005.
[5] 王桥, 毋河海. 地图图斑群自动综合的分形方法研究[J]. 武汉测绘科技大学学报, 1996, 21(1):59-63. WANG Qiao, WU Hehai. The research on fractal method of automatic generalization of map polygons[J]. Journal of Wuhan Technical University of Surveying and Mapping, 1996, 21(1):69-63.
[6] 王家耀, 张天时. 制图综合[M]. 北京:星球地图出版社, 2016. WANG Jiayao, ZHANG Tianshi. Cartographic generalization[M]. Beijing:Planet Map Publishing House, 2016.
[7] STEINIGER S. Enabling pattern-ware automated map generalization[D]. Zurich:Zurich University, 2007.
[8] 武芳, 巩现勇, 杜佳威. 地图制图综合回顾与前望[J]. 测绘学报, 2017, 46(10):1645-1664. DOI:10.11947/j.AGCS.2017.20170287. WU Fang, GONG Xianyong, DU Jiawei. Overview of the research progress in automated map generalization[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1645-1664. DOI:10.11947/j.AGCS.2017.20170287.
[9] ZHANG Xiang, STOTER J, AI Tinghua, et al. Automated evaluation of building alignments in generalized maps[J]. International Journal of Geographical Information Science, 2013, 27(8):1550-1571. DOI:10.1080/13658816.2012.758264.
[10] DU Shihong, LUO Liqun, CAO Kai, et al. Extracting building patterns with multilevel graph partition and building grouping[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 122:81-96. DOI:10.1016/j.isprsjprs.2016.10.001.
[11] 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. DOI:10.3321/j.issn:1001-1595.2007.03.011. AI Tinghua, GUO Renzhong. Polygon cluster pattern mining based on Gestalt principles[J]. Acta Geodaetica et Cartographica Sinica, 2007, 36(3):302-308. DOI:10.3321/j.issn:1001-1595.2007.03.011.
[12] 余莉, 甘淑, 袁希平, 等. 克服双重约束的面目标位置聚类方法[J]. 测绘学报, 2016, 45(10):1250-1259. DOI:10.11947/j.AGCS.2016.20150491. YU Li, GAN Shu, YUAN Xiping, et al. Position clustering for polygon object under dual-constrains[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(10):1250-1259. DOI:10.11947/j.AGCS.2016.20150491.
[13] ZHANG Xiang, AI Tinghua, STOTER J, et al. Building pattern recognition in topographic data:examples on collinear and curvilinear alignments[J]. Geoinformatica, 2013, 17(1):1-33. DOI:10.1007/s10707-011-0146-3.
[14] 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. DOI:10.13485/j.cnki.11-2089.2014.0125. GONG Xianyong, WU Fang. The graph theory approach to grid pattern recognition in urban building groups[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(9):960-968. DOI:10.13485/j.cnki.11-2089.2014.0125.
[15] 张秀红, 陈迪, 刘纪平, 等. 结构化居民地群的多层次识别方法[J]. 武汉大学学报(信息科学版), 2018, 43(8):1144-1151. ZHANG Xiuhong, CHEN Di, LIU Jiping, et al. A multilevel identification approach to structured building clusters[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8):1144-1151.
[16] BADER M, WEIBEL R. Detecting and resolving size and proximity conflicts in the generalization of polygonal maps[C]//Proceedings of the 18th International Cartographic Conference. Stockholm:[s.n.], 1997.
[17] 巩现勇. 城市建筑群典型空间分布模式的识别方法研究[D]. 郑州:信息工程大学, 2014. GONG Xianyong. Research on typical map pattern recognition in urban building groups[D]. Zhengzhou:Information Engineering University, 2014.
[18] YAN Haowen, WEIBEL R, YANG Bisheng. A multi-parameter approach to automated building grouping and generalization[J]. Geoinformatica, 2008, 12(1):73-89. DOI:10.1007/s10707-007-0020-5.
[19] LI Zhilin, YAN Haowen, AI Tinghua, et al. Automated building generalization based on urban morphology and Gestalt theory[J]. International Journal of Geographical Information Science, 2004, 18(5):514-534. DOI:10.1080/13658810410001702021.
[20] 帅赟. 基于Gestalt认知原则的城市建筑群分布模式识别方法研究[D]. 武汉:武汉大学, 2008. SHUAI Yun. Research on distribution pattern recognition method of urban building group based on Gestalt cognitive principle[D]. Wuhan:Wuhan University, 2008.
[21] CHEN Lin. The topological approach to perceptual organization[J]. Visual Cognition, 2005, 12(4):553-637. DOI:10.1080/13506280444000256.
[22] CHEN Lin. Topological structure in visual perception[J]. Science, 1982, 218(4573):699-700. DOI:10.1126/science.7134969.
[23] 朱滢. 陈霖的拓扑性质知觉理论[J]. 心理科学, 2005, 28(5):1031-1034, 1030. DOI:10.3969/j.issn.1671-6981.2005.05.002. ZHU Ying. Chen Lin's theory of topological perception[J]. Psychological Science, 2005, 28(5):1031-1034, 1030. DOI:10.3969/j.issn.1671-6981.2005.05.002.
[24] 吴亮, 谢忠, 叶梓. 街网约束下的城市居民地自动综合算法[J]. 地理与地理信息科学, 2009, 25(3):37-41. WU Liang, XIE Zhong, YE Zi. A building polygon generalization algorithm under the road constraint[J]. Geography and Geo-Information Science, 2009, 25(3):37-41.
[25] 巩现勇. 顾及分布特征和道路网约束的居民地综合方法研究[D]. 郑州:战略支援部队信息工程大学, 2017. GONG Xianyong. Research on settlement generalization methods considering spatial pattern and road networks[D]. Zhengzhou:Information Engineering University, 2017.
[26] AI Tinghua, VAN OOSTEROM P. Gap-tree extensions based on skeletons[M]//RICHARDSON D E, VAN OOSTEROM P. Advances in Spatial Data Handling. Berlin, Heidelberg:Springer, 2002.