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面要素空间信息量的度量方法研究

DOI: 10.3724/SP.J.1047.2012.00744

Keywords: 凸包树,特征,信息量,面要素,空间认知

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Abstract:

地图是空间信息的载体,地图空间信息的度量是地图信息传输理论的一个基础问题。地图空间信息主要包括地图要素的空间信息和要素分布的空间信息。地图空间信息是由要素的几何形态结构来体现,即要素的空间信息通过其几何形态特征描述。为此,本文以面要素为研究对象,提出一种以几何形态结构特征的面要素空间信息量度量方法。首先,从空间认知角度对面要素结构进行凸包分解,构建凸包树的面要素表达方法。然后,采用层次化策略,分别从结点的元素、邻域和整体三个层次来描述面要素几何形态结构,将面要素空间信息分解为几何形态信息和分布结构信息,结合面要素空间信息量的认知分析,给出了几何形态和分布结构特征的定量描述指标,并发展了基于几何形态结构特征的面要素空间信息量计算模型。最后,通过一组实验计算,进行了案例验证分析。

References

[1]  Kolácny A. Cartographic information: A fundamental concept and term in modern cartography [J]. The Cartographic Journal, 1969, 6(1): 47-49.
[2]  Stigmar H. Amount of information in mobile maps: A study of user preference [J]. Mapping and Image Science, 2006, 21(4): 68-74.
[3]  王家耀. 我国地图制图学与地理信息工程学科发展研究[J].测绘通报,2007(5):1-6.
[4]  Sukhov V I. Information capacity of a map entropy [J]. Geodesy and Aerophotography, 1967, X: 212-215.
[5]  祝国瑞,王建华.现代地图分析有关问题的探讨[J].测绘学报,1995,24(1):77-79.
[6]  田晶,艾廷华.街道渐进性选取的信息传输模型[J].武汉大学学报(信息科学版),2010,35(4):415-418.
[7]  邓敏,徐震,赵彬彬,等. 地图综合中空间目标空间信息传递模型研究[J].地球信息科学学报, 2010, 12(5): 655-661.
[8]  刘慧敏, 樊子德, 邓敏,等. 地图上等高线信息度量的层次方法研究[J].测绘学报, 2012, 41(5): 777-783.
[9]  Stoter J, Burghardt D, Duchéne C, et al. Methodology for evaluating automated map generalization in commercial software[J]. Computers, Environment and Urban Systems, 2009(33): 311-324.
[10]  Harrie L, Weibel R. Modeling the overall process of generalization [C].//Ruas A, Mackaness W, Sarjakoski T (Eds.). Generalization of Geographic Information: Cartographic Modeling and Applications. Elsevier, 2007, 67-88.
[11]  Sukhov V I. Application of information theory in generalization of map contents [J]. International Yearbook of Cartography, 1970, X: 41-47.
[12]  Neumann J. The topological information content of a map: An attempt at a rehabilitation of information theory in cartography [J]. Cartographical, 1994, 31: 26-34.
[13]  Bjorke J T. Framework for entropy-based map evaluation [J]. Cartography and Geographical Information Systems, 1996, 23(2): 78-95.
[14]  Wang S Y, Du Q Y, Wang Z. A quantitative measurement approach for metric information of maps based on spatial cognition [C]. Fourth International Conference on Natural Computation, IEEE Computer Society, 2008, 235-239. doi: 10.1109/ICNC.2008.379
[15]  Li Z L, Huang P Z. Quantitative measures for spatial information of maps [J]. International Journal of Geographical Information Science, 2002, 16(7): 699-709.
[16]  Harrie L, Stijmar H. An evaluation of measures for quantifying map information[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(3): 266-274.
[17]  陈杰,邓敏,徐枫,等. 面状地图空间信息度量方法研究[J].测绘科学, 2010, 35(1): 74-76.
[18]  Batchelor B. Hierarchical shape description based upon convex hulls of concavities [J]. Journal of Cybernetics, 1980(10): 205-210.
[19]  Xu J. Hierarchical representation of 2-D shapes using convex polygons: A morphological approach [J]. Pattern Recognition Letters, 1997, 18: 1009-1017.
[20]  Whelan B M, McBratney A B. Prediction uncertainty and implications for digital map resolution [C].//Robert P C, Rust R H, Larson W E (Eds.). Proceedings of the Fourth International Conference on Precision Agriculture, Madison, WI, USA, 1998, 4: 1185-1196.
[21]  Palmer S. Hierarchical structure in perceptual representation [J]. Cognitive Psychology, 1977, 9: 441-474.
[22]  Siddiqi K, Kimia B B. Parts of visual form: computational aspects [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(3): 239-251.
[23]  艾廷华,李志林,刘耀林,等.面向流媒体传输的空间数据变化累积模型[J].测绘学报, 2009, 38(6): 514-519.
[24]  丁险峰,吴洪,张宏江,等. 形状匹配综述[J].自动化学报, 2001, 27(5): 678-693.
[25]  刘颖. 空间图形的表达、识别与综合.郑州:中国人民解放军信息工程大学, 2005.
[26]  Liu H R, Liu W Y, Latecki L J. Convex shape decomposition [J]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, 97-104.
[27]  Latecki L, Lakamper R. Convexity rule for shape decomposition based on discrete contour evolution [J]. Computer Vision and Image Understanding, 1999, 73(3): 441-454.
[28]  鲁学军. 空间认知模式研究[J].地理信息世界, 2004(6):9-13.

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