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基于逆向云模型的矢量地图数据质量综合评估

Application of backward cloud in quality evaluation of vector map data
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摘要 随着矢量地图产品的广泛应用,数据质量越来越受到人们的重视,因此,如何正确地评估矢量地图数据质量成为研究的重点。本文利用云模型进行定性与定量之间的转换,提出基于逆向云模型的矢量地图数据质量综合评估方法,详细介绍了建立矢量地图数据质量评估云模型的基本思路和方法步骤。实验结果表明,该评价方法比以往的评价方法更加客观、准确,并且对评价结果的显示更加直观、细腻。 With the broad application of vector map products,the data quality has drawn more and more attention.Therefore,how to properly evaluate the quality of vector map data is a key problem.In this paper,a comprehensive quality evaluation method of the vector map data is presented by using cloud model for the qualitative and quantitative transformation.Then the basic principle and method to establish reverse cloud model for quality evaluation is described in detail.The experimental results show that this quality evaluation method is more objective and accurate,and the evaluation results are presented more intuitively and delicately.
作者 吴娟 吴芳华 WU Juan;WU Fanghua(Xi’an Research Institute of Surveying and Mapping,Xi’an 710054,China;State Key Laboratory of Geo-Information Engineering,Xi'an 710054,China)
出处 《测绘科学与工程》 2019年第2期37-41,共5页 Geomatics Science and Engineering
关键词 质量评估 云模型 矢量地图数据 缺陷 模糊综合评价 quality evaluation cloud model vector map data defect fuzzy synthetic evaluation
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