同名边界点的面状居民地要素匹配

针对空间数据集成与地图增量更新过程中的面实体匹配环节,该文提出利用同名边界点集进行面状居民地要素匹配的方法。该方法从边界点的相似性考虑面状居民地要素的相似性,通过计算候选匹配要素上边界点在位置、转角、关联边等方面的一致性,把面实体相似性的比较转换为同名要素边界点集相似性的比较,简化了面状居民地实体匹配的复杂度。在面状居民地要素的匹配过程中,该文方法可以处理一对一、一对多和多对一的匹配关系。实验证明,该方法在匹配面状居民地要素时,准确率可以达到98%。

Residential polygon features matching based on identical boundary points

Polygon entities matching is an important part in the process of spatial data integration and incremental map updating.A method of matching polygon entities according to the similar boundary points on the identical polygon entities were proposed in this paper.In this method,similarities of residential polygon entities were compared according to the similarities of boundary points on these entities,based on points' similarities of positions,corners and the related boundary lines about the boundary points on candidate matching objects.The method replaced the similarity comparison of polygon entities by computing the similarity of the related boundary points between them,which made the process of residential polygon entities matching simplified.In the process,the method did well when candidate matching features having the relationship of 1 ∶ 1,1 ∶ N or N ∶ 1.The experiment proved that the method had a high accuracy of 98％ in the process of residential polygon entities matching.