一种面状数据空间一致性检测及处理方法  

A spatial consistency processing method for area data based on the topological decomposition model

作　　者：燕雨晗 殷勇[1] 梁汉媚 李自力 郭沛沛[1] YAN Yuhan;YIN Yong;LIANG Hanmei;LI Zili;GUO Peipei(Chinese Academy of Surveying&Mapping,Beijing 100036,China;Beijing Institute of Surveying and Mapping,Beijing 100038,China;Natural Resources and Planning Bureau of Wuhan Economic and Technological Development Zone,Wuhan 430058,China)

机构地区：[1]中国测绘科学研究院,北京100036 [2]北京市测绘设计研究院,北京100038 [3]武汉经济技术开发区自然资源和规划局,武汉430058

出　　处：《测绘科学》2023年第11期218-229,共12页Science of Surveying and Mapping

基　　金：中国测绘科学研究院基本科研业务项目(AR2201);新型基础测绘国家试点项目(H2212/2243/2245)

摘　　要：针对数据融合和综合过程中出现的空间不一致性问题,提出了一种基于拓扑分解模型的面状数据空间一致性检测及处理方法:①该模型将矢量数据看作具有语义信息的弧段集,根据空间关系识别弧段对的方式检测空间不一致问题;②在模型应用过程中,使用权重法或拟合法来处理空间不一致性;③经北京市中心城区房屋实体数据、地类图斑数据验证,在数据重构后,房屋实体的空间不一致问题修复率达到98.06%,地类图斑间、地类图斑与线状河流间的空间不一致问题修复率分别达到93.75%、95.74%。试验结果表明,该方法为空间一致性检测及处理提供了一种有效的思路。Aiming at the problem of spatial inconsistency that occurs during data fusion and generalization,a spatial consistency detection and processing method for area data based on topological decomposition model was proposed in this paper.Firstly,the vector data was regarded as arc set with semantic information,and the arc pairs were identified by the spatial analysis,the spatial inconsistency would be detected by the arc pairs.Then,spatial inconsistencies were handled by means of either weight method or fitting method in the process of model application.Finally,taking the data of the central urban area in Beijing as an example for validation,the repair rate for spatial inconsistencies between the building entities reached 98.06%,in addition,the repair rate for the spatial inconsistencies between land-use patches reached 93.75%,the repair rate for the spatial inconsistencies between land-use patches and linear rivers reached 95.74%,after data reconstruction.The results indicated that the proposed method could provide an effective way for spatial consistency detection and processing.

关 键 词：拓扑分解模型 模式识别 空间一致性 实体 地类图斑 

分 类 号：P208[天文地球—地图制图学与地理信息工程]