利用空白区域骨架线网眼匹配多源面状居民地

多源大比例尺城市地图中,同名居民地数据间往往存在较大几何位置偏差,从而增加了居民地匹配的难度和不确定性。针对这一问题,本文提出了一种利用空白区域骨架线网眼进行居民地匹配的新方法。首先,提取空白区域骨架线,并建立空白区域骨架线网眼和居民地之间的一一映射关系,将居民地匹配转换为骨架线网眼匹配;然后,根据骨架线网眼之间的相接拓扑关系构建对偶图,计算对偶图中每个节点的各项中心性指标,并利用极化变换和层次分析法建立骨架线网眼匹配模型,获取骨架线网眼匹配结果;最后,将骨架线网眼匹配结果按照映射关系进行传递,从而得到居民地匹配结果。将居民地匹配转换为空白区域骨架线网眼匹配,并对骨架线网眼进行对偶图构建和极化变换,为匹配增加拓扑约束和相对位置约束,从而弥补几何位置的较大偏差对匹配造成的影响。对比试验及分析表明本方法能够有效解决大比例尺城市地图中几何位置偏差较大的面状居民地的匹配问题。

Matching Multi-source Areal Habitations with Skeleton Line Mesh of Blank Reg i on

In the large scale map of urban area,obvious difference in geometric position often tend to exist in multisource habitation data,which increases the difficulty and uncertainty of habitation matching. A new matching method for areal habitation by using the skeleton line mesh of blank region is proposed to solve the above problem.Firstly,the one-to-one mapping relationship between skeleton line mesh and habitation is established based on skeleton line network of blank region so that the matching object is transformed from habitation to skeleton line mesh.Secondly,the dual graph of skeleton line mesh is constructed by the connective topology,and the centrality indexes of each node in the dual graph can be calculated.Then the matching model of skeleton line mesh is established by polarization transformation and analytic hierarchy process,accordingly the matching results of skeleton line mesh can be obtained.Finally, the matching results of skeleton line mesh can be transformed into habitation matching results by the mapping relationship.The transformation of matching object,dual graph construction and polarization transformation of the skeleton line mesh can add the constraint conditions of topology and relative position to the matching process,so that the influence on matching caused by the obvious geometric position difference can be reduced significantly.Comparison experiments and analysis with other areal matching methods indicate that the proposed method can solve the matching problem among the areal habitation da-ta of the large scale urban map with obvious geometric position difference effectively.