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基于组合模型的方向关系查询

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  • NETL
  • NSTL
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锥形模型和矩阵模型因计算简单、可查询性好,常被用于方向关系查询,但由于忽略了空间对象的大小、形状、以及相互之间的距离对方向关系的影响,容易导致方向关系查询结果出现偏差.为解决该问题,本文利用锥形模型、矩阵模型和Voronoi图模型在方向关系判断上的互补性,提出一种集成三者优势的方向关系组合模型,并基于该模型实现了方向关系查询.其基本思路是:为了能够集成不同模型的优势,将方向关系分为外部方向关系和内部方向关系;然后,组合锥形模型和矩阵模型实现外部方向关系查询,从而兼顾空间对象的大小和相互之间的距离对方向关系的影响;并使用Voronoi图模型进行内部方向关系查询,以顾及空间对象的形状对方向关系的影响.实验结果表明,组合模型在方向关系查询中具有良好的适用性和可行性,能够有效克服锥形模型和矩阵模型存在的缺陷,提高方向关系查询的准确性.该模型将有助于提升空间信息智能查询、智能推理、以及多尺度空间关系相似性计算等空间数据处理方法的准确性和可信度.
Direction Relation Query Based on the Combinational Model
As important methods for geographic information retrievals,direction relation queries have been wide-ly applied in many fields such as data mining,intelligent reasoning,map navigation,and multi-scale data pro-cessing.In direction relation queries,it is necessary to use the direction relation models to calculate the direction relations between spatial objects.Among the proposed direction relation models,the cone-based model and the matrix model are mainly used for direction relation queries due to their simplicity and strong query capabilities.However,these two models ignore the influences of the sizes and shapes of spatial objects and the distance be-tween them on direction relations,potentially leading to unreasonable query results.To solve the problem,this paper proposes a direction relation model that combines the cone-based model,the matrix model,and the Vor-onoi-based model to determine direction relations.The idea is to divide direction relations into external direction relations and internal direction relations and integrate the advantages of different models.The cone-based model and the matrix model are combined to achieve the external direction relation queries,taking into account the in-fluences of the sizes of spatial objects and the distance between them on direction relations.The Voronoi-based model is employed for the internal direction relation queries,considering the influences of the shapes of spatial objects on direction relations.The experimental results show that the combinational model has good applicability and feasibility in direction relation queries,maintaining high consistency with people's spatial cognitions.The main advantages of the combinational model are that:(1)it fully considers the influences of the sizes and shapes of spatial objects and the distance between them on direction relations,and overcomes the disadvantages of the cone-based model and the matrix model in direction relation queries;and(2)it integrates the strengths of the cone-based model,the matrix model,and the Voronoi-based model,enabling the unified querying of external di-rection relations and internal direction relations and resulting in improved accuracy of direction relation queries.Moreover,the combinational model will help improve the accuracy and reliability of spatial data processing such as intelligent querying and reasoning of spatial information and the calculation of multi-scale spatial relation sim-ilarity.

direction relationsspatial queriesgeographic information retrievalsdirection-relation modelsspa-tial objectstopological relationsdistance relationsspatial cognitions

王中辉、杨雷挺

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兰州交通大学测绘与地理信息学院,兰州 730070

地理国情监测技术应用国家地方联合工程研究中心,兰州 730070

甘肃省地理国情监测工程实验室,兰州 730070

方向关系 空间查询 地理信息检索 方向关系模型 空间对象 拓扑关系 距离关系 空间认知

国家自然科学基金国家自然科学基金中央引导地方科技发展资金项目兰州交通大学优秀平台项目

4186106041561090YDZX20216200001803201806

2024

10.12082/dqxxkx.2024.230513

地球信息科学学报
中国科学院地理科学与资源研究所

地球信息科学学报

CSTPCD北大核心
影响因子：1.004
ISSN：1560-8999
年,卷(期)：2024.26(5)
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