基于匹配置信度的路网几何特征融合方法研究

Research on Fusion Method of Road Network Geometric Features Based on Matching Confidence

路网几何融合是维护路网数据现势性的重要手段。目前,路网融合的相关研究侧重于对匹配算法、融合策略的改进与提升,多源路网数据融合的具体方案较少。本文结合全球测图项目的迫切需求,提出了一种基于匹配置信度的路网几何特征融合方法。通过多特征因子匹配方法识别同名路网实体,设计路网匹配置信度提取增量路网数据,利用路网接边修复融合路网。实际生产应用表明,文中提出的方法在较大程度上提升了原始路网的完整性及现势性。

Road network geometric fusion is an important means to maintain the currentness of road network data.At present,relevant research on road network fusion focuses on the improvement and enhancement of matching algorithms and fusion strategies,and there are few specific solutions for multi-source road network data fusion.This paper combines the urgent needs of global mapping projects and proposes a road network geometric feature fusion method based on matching confidence.The road network entities with the same name are identified through the multi-feature factor matching method,the road network matching confidence is designed to extract incremental road network data,and the road network edge matching is used to repair the fused road network.Actual production applications show that the method proposed in this article improves the integrity and currentness of the original road network to a great extent.