基于同一性叠置分析的地理国情数据融合技术研究
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摘要
为减少2017年江苏省基础性地理国情监测工作量,提高生产效率,本文研究了一种基于同一性叠置分析的地理国情数据融合技术。首先是在识别数据类型后,进行投影、格式转换和省级数据去细化等预处理;在数据质量检查合格后,对两套数据进行同一性叠置分析;根据叠置分析成果进行变化信息的判断和变化要素的提取;在此基础上将从省级国情数据中提取的变化要素融合到国家国情数据中,同时,完成省级国情数据细化的还原以及TAG、FEATID等字段的国家国情数据的继承;最后,对融合的地理国情数据进行拓扑等质量检查。生产实践表明,该技术能较好地利用江苏省2016年度数据更新成果,促进2017年江苏省基础性地理国情监测项目的顺利实施。
In order to reduce the workload of basic geographic condition monitoring in Jiangsu Province in 2017 and improve production efficiency,this paper studied a technology of data fusion in geographical situation based on identity. Firstly,it needed to identify the data type. After that,it performed preprocessing such as projection,format conversion and data refinement at the provincial level and so on. Next,it needed to read two sets of data for the identity when the data quality was passed examination. Afterword,according to the identity,the new layer was used to judge the change information and extract the elements. On this basis,the change factors extracted from the provincial geographic condition data were integrated into the national geographic conditions data. At the same time,it accomplished the reductions of the provincial geographic condition refinement and the inheritance of TAG and FEATID and other fields which was from the national geographic conditions data. Finally,the fusion data of geographic condition was checked such as topology and other quality inspections. The production practice shows that this technology not only can make better use of the data update results of Jiangsu province in 2016,but also ensure the successful implementation of the basic geographical situation monitoring project in Jiangsu Province in 2017.
In order to reduce the workload of basic geographic condition monitoring in Jiangsu Province in 2017 and improve production efficiency,this paper studied a technology of data fusion in geographical situation based on identity. Firstly,it needed to identify the data type. After that,it performed preprocessing such as projection,format conversion and data refinement at the provincial level and so on. Next,it needed to read two sets of data for the identity when the data quality was passed examination. Afterword,according to the identity,the new layer was used to judge the change information and extract the elements. On this basis,the change factors extracted from the provincial geographic condition data were integrated into the national geographic conditions data. At the same time,it accomplished the reductions of the provincial geographic condition refinement and the inheritance of TAG and FEATID and other fields which was from the national geographic conditions data. Finally,the fusion data of geographic condition was checked such as topology and other quality inspections. The production practice shows that this technology not only can make better use of the data update results of Jiangsu province in 2016,but also ensure the successful implementation of the basic geographical situation monitoring project in Jiangsu Province in 2017.
引文
[1]江苏省测绘地理信息局.2017年江苏省基础性地理国情监测技术设计书[G].南京:江苏省测绘地理信息局,2017.
[2]江苏省测绘地理信息局.江苏省地理国情普查数据年度更新技术设计书[G].南京:江苏省测绘地理信息局,2017.
[3]孙群.多源矢量空间数据融合处理技术研究进展[J].测绘学报,2017,46(10):1 627-1 636.
[4]张桥平,李德仁,龚健雅.地图合并技术[J].测绘通报,2001(7):6-8.
[5]郑宇志,张青年.基于拓扑及空间相似性的面实体匹配方法研究[J].测绘科学技术学报,2013,30(5):510-514.
[6]程钢,卢小平.顾及通名语义的汉语地名相似度匹配算法[J].测绘学报,2014,43(4):404-410.
[7]芮小平,于雪涛.基于C#语言的ArcGIS Engine开发基础与技巧程序[M].北京:电子工业出版社,2015.
[8]李崇贵,陈峥,丰德恩.ArcGIS Engine组件组件式开发及应用[M].北京:科学出版社,2012.
[9]常方正,赵银娣,刘善磊.遥感CVA变化检测的CUDA并行算法设计[J].遥感学报,2016,20(1):114-128.
[2]江苏省测绘地理信息局.江苏省地理国情普查数据年度更新技术设计书[G].南京:江苏省测绘地理信息局,2017.
[3]孙群.多源矢量空间数据融合处理技术研究进展[J].测绘学报,2017,46(10):1 627-1 636.
[4]张桥平,李德仁,龚健雅.地图合并技术[J].测绘通报,2001(7):6-8.
[5]郑宇志,张青年.基于拓扑及空间相似性的面实体匹配方法研究[J].测绘科学技术学报,2013,30(5):510-514.
[6]程钢,卢小平.顾及通名语义的汉语地名相似度匹配算法[J].测绘学报,2014,43(4):404-410.
[7]芮小平,于雪涛.基于C#语言的ArcGIS Engine开发基础与技巧程序[M].北京:电子工业出版社,2015.
[8]李崇贵,陈峥,丰德恩.ArcGIS Engine组件组件式开发及应用[M].北京:科学出版社,2012.
[9]常方正,赵银娣,刘善磊.遥感CVA变化检测的CUDA并行算法设计[J].遥感学报,2016,20(1):114-128.