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地图数字化的不确定性分析及数据质量控制
引用本文:谢振红,付博,王忠礼,邓彩群. 地图数字化的不确定性分析及数据质量控制[J]. 吉林建筑工程学院学报, 2010, 27(6): 6-9
作者姓名:谢振红  付博  王忠礼  邓彩群
作者单位:吉林建筑工程学院测绘与勘查工程学院,长春130118
基金项目:吉林省教育厅"十一五"科学技术研究项目
摘    要:地图数字化作为空间数据的重要来源,生产工序多,每一步产生的误差对成果数据质量均有影响.首先从地图数字化所涉及的数据来源、硬件、软件以及人员等因素出发,探讨了由其带来的不确定性.然后,从数据采集过程着手,研究如何在数据获取过程进行质量控制从而确保成果数据质量.最后分析如何通过空间数据质量控制确保成果数据质量控制.得出结论:数据源质量决定地图数字化成果数据质量,几何纠正,图纸定向是地形图扫描数字化的重要工序,屏幕数字化是保证数据质量的关键,需要重点进行质量控制.空间数据质量控制是保证数据质量的重要步骤,也会引入新的误差.

关 键 词:质量控制  地图数字化  不确定性分析

Uncertainty Analysis of Map Scanning Digitization and Data Quality Control
XIE Zhen-hong,FU Bo,WANG Zhong-li,DENG Cai-qun. Uncertainty Analysis of Map Scanning Digitization and Data Quality Control[J]. Journal of Jilin Architectural and Civil Engineering, 2010, 27(6): 6-9
Authors:XIE Zhen-hong  FU Bo  WANG Zhong-li  DENG Cai-qun
Affiliation:(School of Surveying and Prospecting Engineering,Jilin Institute of Architecrure and Civil Engineering,Changchun,China 130118)
Abstract:Map digitization is an important source of spatial data,and its process of production is complicated,the error generated by each step will influence the outcome of data quality.First,from perspective datasource,hardware,software and personnel factors related to map digitizing,the paper discussed the uncertainty;After that,an uniform spatial data quality model is built.Then starting from the map digitization data collection process,how to control data quality in the process of data collection to insure data product quality is researched.At last,spatial data quality control method is advanced,which insure the data product to meet quality requirements.Through data quality control methods discussed,its conclusions are as follows:data source quality determined the data quality of map scanning digitization;drawing orientation is an important process of digital scanning;the screen digitization is the key to ensure the quality of data.Quality control of spatial data is the key to ensure the quality of data that will also introduce new errors.
Keywords:quality control  Map digitization  Uncertainty Analysis
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