The parameter discrimination approach to multi-connected linear pattern recognition in building groups

被引：0
作者：
机构：
[1] Institute of Geographical Spatial Information, Information Engineering University
[2] State Key Laboratory of Geo-information Engineering
来源：
Gong, X. (gongxygis@whu.edu.cn) | 1600年 / Editorial Board of Medical Journal of Wuhan University卷 / 39期
关键词：
Building groups; Cartographic generalization; Multi-connected linear pattern; Pattern recognition;
D O I：
10.13203/j.whugis20120708
中图分类号：
学科分类号：
摘要：
Map patterns in building groups, as one of the essential foundations for cartographic generalization and multi-scale connection-relations, embodies the relationship of the material form of cities to their social-economic functions. On the basis of related research at home and abroad, a multi-connected linear pattern is recognized taking advantage of parameter discrimination. With the analysis of pattern organization laws, the structural parameters of linear patterns are characterized by distance, direction and size; then the neighborhood relationship was captured by proximity graph with the help of a Delaunay triangulation; finally the multi-connected linear pattern is recognized by pruning the proximity graph, modeling the human processes. Experiments show that this approach is effective, feasible and practicable for multi-connected linear pattern recognition in agreement with cognitive characteristics.
引用
收藏
页码：335 / 339
页数：4
相关论文
共 14 条
  • [1] Wu F., Qian H.Z., Deng H.Y., Et al., Intelligent Spatial Information Processing for Automated Map Generalization, (2008)
  • [2] Teiniger S., Enabling pattern-ware automated map generalization, (2007)
  • [3] Ruiz J.J., Ariza F.J., Urena M.A., Et al., Digital map conflation: A review of the process and a proposal for classification, International Journal of Geographical Information Science, 25, 9, pp. 1439-1466, (2011)
  • [4] Qi H.B., Detection and generalization of changes in settlements for automated digital map updating, (2009)
  • [5] Li Z.L., Yan H.W., Ai T.H., Et al., Automated building generalization based on urban morphology and gestalt theory, International Journal of Geographical Information Science, 18, 5, pp. 514-534, (2004)
  • [6] Ai T.H., Guo R.Z., Polygon cluster pattern mining based on gestalt principles, Acta Geodaetica et Cartographica Sinica, 36, 3, pp. 302-308, (2007)
  • [7] Zhao B.B., Deng M., Li G.Q., Et al., A new hierarchical spatial index based on urban morphology, Acta Geodaetica et Cartographica Sinica, 39, 4, pp. 435-440, (2010)
  • [8] Yan H.W., Weibel R., Yang B.S., A multi-parameter approach to automated building grouping and generalization, GeoInformatica, 12, 1, pp. 73-89, (2008)
  • [9] Basaraner M., Selcuk M., A structure recognition technique in contextual generalization of buildings and built-up areas, The Cartographic Journal, 45, 4, pp. 274-285, (2008)
  • [10] Allouche M.K., Moulin B., Amalgamation in cartographic generalization using Kohonen's feature sets, International Journal of Geographical Information Science, 19, 8-9, pp. 899-914, (2005)
12