模式识别的空间数据联动更新技术研究  

Research on multi-scale spatial data linkage updating technology based on pattern recognition

作　　者：张新长 张志强[2] 孙颖[2] 何显锦[2] 罗国玮[2] ZHANG Xinchang;ZHANG Zhiqiang;SUN Ying;HE Xianjin;LUO Guowei(Guangzhou University,Guangzhou 510006,China;School of Geography and Planning,Sun Yat-sen University, Guangzhou 510275,China)

机构地区：[1]广州大学,广州510006 [2]中山大学地理科学与规划学院,广州510275

出　　处：《测绘科学》2019年第1期66-72,共7页Science of Surveying and Mapping

基　　金：国家自然科学基金重点项目(41431178);广东省自然科学基金重点项目(2016A030311016);智慧广州时空信息云平台建设项目(GZIT2016-A5-147)

摘　　要：针对多尺度空间数据联动更新技术体系不完善的问题,该文提出了一套系统完善的多尺度空间数据联动更新技术体系。该技术体系以模式识别理论为基础,以"更新信息检测—自适应增量更新—更新信息多尺度匹配与传递"为主线,实现了模式识别理论技术与多尺度空间数据联动更新应用的深度融合,为空间数据快速更新提供了重要的技术支撑和保障。基于广州市增城区空间数据联动更新的实验结果表明:该文提出的方法对于复杂城市区域多尺度空间数据联动更新是非常有效的。Aiming at the problem which the technical system of multi-scale spatial data linkage updating is imperfect,this paper puts forward a technical system for multi-scale spatial data linkage updating.The technical system is based on pattern recognition theory and takes"updating information detection-adaptive incremental updating-updating information multi-scale matching and transmission"as the main line,which realizes the deep integration of pattern recognition technology and multi-scale spatial data linkage update application and can provide important technical support and guarantee for the rapid updating of spatial data.The experimental results in Zengcheng district,guangzhou shows that the method proposed in this paper is very effective for multi-scale spatial data linkage updating in complex urban areas.

关 键 词：模式识别 空间数据 更新信息检测 更新信息传递 联动更新 

分 类 号：P282[天文地球—地图制图学与地理信息工程]