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中文摘要：
结合国内外对建筑群空间分布模式的研究，提出了建筑群多连通直线模式的参数判别识别方法。首先从其组织规律出发，从距离、方向、大小3方面提取直线模式的结构化参数；然后利用Delaunay三角网构建建筑群的邻近关系，生成邻近图；考虑直线模式的直线性、紧凑性等，通过模拟直线模式识别的人工过程进行邻近图的同质性修剪，识别出多连通直线模式。实验表明，该方法能够识别出明显直线模式，且具有完备性，允许模式相交，更符合人类空间认知特点。
英文摘要：
Map patterns in building groups, as one of the essential foundations for cartographic gener- alization 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-con- nected 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.
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