多层次多粒度OSM路网目标数据质量综合评估方法研究

发布时间：2018-09-03 15:12

【摘要】：针对以往Open Street Map(OSM)数据质量评价中只考虑片面评价指标或只考虑单一层次评估对象的不足,本文选取典型研究区,以来自政府规划机构的权威数据集作为参照数据,基于模糊综合评价法,设计了质量评价指标与空间层次相结合的多层次多粒度OSM路网目标数据质量评估模型,从单一目标、群组目标和整体目标3个粒度,集成构建集个体数量控制与群体结构控制于一体的数据质量评估指标体系,并解决评估模型中隶属度确定与最优组合权重赋权的关键技术问题,实现了宏观与微观相结合、全局与局部相结合的OSM数据质量的多维度多层次综合度量。实验结果表明,该方法具有可行性和实用性,可为基于VGI数据源实现相关行业应用提供实证依据和可靠的数据质量评估方法。
[Abstract]:In view of the shortcomings of the past Open Street Map (OSM) data quality evaluation which only consider the one-sided evaluation index or the single-level evaluation object, this paper selects the typical research area and takes the authoritative data set from the government planning agency as the reference data. Based on the fuzzy comprehensive evaluation method, a multi-level multi-granularity OSM road network data quality evaluation model is designed, which combines the quality evaluation index with the spatial level. The index system of data quality evaluation is constructed by integrating individual quantity control and group structure control, and the key technical problems of membership degree determination and optimal combination weight weighting in evaluation model are solved, and the combination of macro and micro is realized. A multi-dimensional and multi-level comprehensive measurement of OSM data quality combining global and local aspects. The experimental results show that this method is feasible and practical, and can provide empirical basis and reliable data quality evaluation method for the application of related industries based on VGI data sources.
【作者单位】：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;首都师范大学三维信息获取与应用教育部重点实验室;首都师范大学城市环境过程与数字模拟国家重点实验室培育基地;
【基金】：国家自然科学基金项目(41371375) 北京市自然科学基金项目(8132018) 北京市教委科研计划项目(KM201810028014)
【分类号】：P208;U491

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