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面状实体增量融合过程中拓扑冲突检测及一致性维护方法研究
引用本文:张旗升,王艳慧,刘轩朋.面状实体增量融合过程中拓扑冲突检测及一致性维护方法研究[J].武汉大学学报(信息科学版),2019,44(3):467-474.
作者姓名:张旗升  王艳慧  刘轩朋
作者单位:1.首都师范大学资源环境与地理信息系统北京市重点实验室, 北京, 100048
基金项目:国家重点研发计划2018YFB0505400国家自然科学基金41771157全国统计科学研究重点项目2018LZ27北京市教委科研计划KM201810028014
摘    要:针对目前面状实体增量融合过程中存在的拓扑冲突检测及一致性维护方法局限性强、通用性及效率较低、拓扑差异识别不准确等问题,提出了一种新的基于空间关系模型的拓扑一致性检测及维护方法。该方法在面状增量实体的基础上,设计了包括定性的面状实体拓扑关系类型、定量的位置特征及部分拓扑关系的集成空间关系表达模型,以最新版本数据库中面状增量实体的拓扑关系为冲突检测标准,设计并实现了顾及几何一致性的面状实体拓扑冲突自动检测和一致性维护算法。实验结果表明,该算法精度可达到90%左右,可很好地完成增量融合过程中的冲突检测及拓扑一致性维护工作,针对性强,适用性高。

关 键 词:增量更新    增量融合    冲突检测    一致性维护
收稿时间:2017-05-17

Topological Conflict Detection and Consistency Maintenance Method in Process of Area Entities Incremental Integration
Institution:1.Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China2.Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China3.State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China4.China Zhengyuan Geomatics Group Co, Ltd, Beijing 101300, China
Abstract:In order to solve the problems such as strong limitations, low versatility and efficiency, and inaccurate topological difference identification of topological conflict detection and consistency maintenance method, et al, in the process of area entities incremental integration, a new topological conflict detection and consistency maintenance method based spatial relation model is proposed. The integrated spatial relationship expression model is designed with qualitative area entities topological relation types, and quantitative geometric features on the premise of area incremental entities. Area entities topological conflict detection and consistency maintenance algorithm is designed and integrated with a standard of incremental area entities topological relationships in the latest version of the database. Experimental results show that the experimental accuracy can reach 90%, and the method can do the work of topological conflict detection and consistency maintenance method in the process of area entities incremental integration very well with good pertinence and applicability.
Keywords:
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