建筑群多连通直线模式的参数识别方法

目的 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。

The Parameter Discrimination Approach to Multi-connectedLinear Pattern Recognition in Building Groups

Objective 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 citiesto 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 ofpattern 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 helpof a Delaunay triangulation;finally the multi-connected linear pattern is recognized by pruning theproximity graph,modeling the human processes.Experiments show that this approach is effective,feasible and practicable for multi-connected linear pattern recognition in agreement with cognitivecharacteristics.