地理信息系统中拓扑关系的不确定性推理方法  

UNCERTAIN REASONING APPROACH TO TOPOLOGICAL RELATIONS UNDER LOCATIONAL UNCERTAINTY IN GIS

作　　者：邓敏[1] 冯学智[1] 刘文宝[2] 林宗坚[3] 

机构地区：[1]南京大学城市与资源学系,南京210093 [2]山东科技大学地球信息科学与工程学院,泰安271019 [3]中国测绘科学研究院,北京100039

出　　处：《模式识别与人工智能》2004年第3期326-331,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.40101022.49801016);教育部高校博士点基金(No.20010284011)

摘　　要：首先基于点集拓扑学理论理出了一个新的4交差模型,在此基础上分析了空间数据不确定性对拓扑关系形式化描述的影响.通过引入拓扑距离,建立了拓扑关系概念邻域图,并用以实现拓扑关系的不确定性推理.然后,在4交差模型下建立了拓扑关系合成推理关系表,并给出了合成过程中不确定性的表达方法.通过算例分析表明,本文提出的方法是合理的,具有兼顾定性空间推理和定量表达的优点.A generic model for topological relations is firstly presented in this paper. On the basis of this, we make a detailed investigation of the impact of positional uncertainly on topological relations, and a conceptual neighborhood graph used for uncertain reasoning of topological relations under uncertainty is built upon the definition of topological distance. In the following', a composition table of topological relations is derived, and the propagation of uncertainly is tracked for any combination of topological relations. Experimental results show that the proposed approach in the paper is feasible and reasonable, with the advantages of qualitative reasoning and quantitative representation.

关 键 词：地理信息系统 拓扑关系 概念邻域 不确定性推理 

分 类 号：P208[天文地球—地图制图学与地理信息工程] TP181[天文地球—测绘科学与技术]