多源点要素的全局一致性自动匹配

摘要

多源点要素的自动匹配是空间数据集成与融合的重要基础性工作.本文通过计算点要素的匹配可信度指标,建立点要素的一致性优化匹配模型,并转化为二分图最大带权匹配问题,从而实现了多源点要素的全局一致性匹配,其匹配结果更好地顾及了所有匹配要素相互之间的一致性和相似性.实验表明:相比传统方法,本文方法具有较高的匹配准确率,能够适应更为复杂的情况.%Automated matching of point features from different sources plays an important role in spatial data integration and fusion . Aiming at the problem that existing methods match homonymous features by means of strategy of finding optimal solution locally, which will cause mismatch often occurs when homonymous road features differ greatly in their locations, so in order to solve such a problem, this paper constructs global optimization model of matching road network through analyzing matching confidence of point features and the optimal solution is found by solving perfect matching with weights of bipartite graph. Many experiments indicate that our method can ensure that matching results agree with each other globally,and has a higher accuracy as a result.