面状实体增量信息提取过程中变化类型自动检测方法
|
摘要
为解决空间数据库增量更新过程中空间实体变化类型识别困难、判别方法复杂度高、判别因子冗余度高以及识别过程自动化程度低等问题,提出一种基于实体特征匹配模型的面状实体变化类型检测方法。该方法在新旧版本面状空间数据库增量实体集合基础上,构建实体变化类型评判规则,设计并集成面状要素属性及几何特征算子,对单一面状实体9种变化类型进行检测和提取,最大限度地降低判别算法复杂度和判别因子冗余度,实现面状实体增量信息提取过程中变化类型的判别、提取、入库,以及判别过程与增量实体提取过程的紧密联系和有机耦合。
In order to solve the problems such as the difficulties of identifying the spatial entities change types,high complexity of discrimination methods,redundancy of discrimination factors,low automation degree of the identification process,et al,in the process of incremental updating,an automatic detection method for entity change type on the foundation of entity features matching model has been presented.The method builds the discriminant rules for entity change type based on incremental entity sets of old and new versions′area spatial databases,designs and integrates attribute and geometric feature operators of area entities to detect and extract nine change types of single area entity,minimizes complexity of the algorithm and redundancy of detection factors,achieves identification,extraction,storage of change types in the process of incremental information extraction,and achieves close connection,organic coupling with the process of discrimination and increment entities extraction.Experimental results show that the method has good feasibility and applicability,and the method could be well applied to change type discrimination of area entities.
In order to solve the problems such as the difficulties of identifying the spatial entities change types,high complexity of discrimination methods,redundancy of discrimination factors,low automation degree of the identification process,et al,in the process of incremental updating,an automatic detection method for entity change type on the foundation of entity features matching model has been presented.The method builds the discriminant rules for entity change type based on incremental entity sets of old and new versions′area spatial databases,designs and integrates attribute and geometric feature operators of area entities to detect and extract nine change types of single area entity,minimizes complexity of the algorithm and redundancy of detection factors,achieves identification,extraction,storage of change types in the process of incremental information extraction,and achieves close connection,organic coupling with the process of discrimination and increment entities extraction.Experimental results show that the method has good feasibility and applicability,and the method could be well applied to change type discrimination of area entities.
引文
[1]BRIATM O,MONNOT J L,KRESSMANN T.Incremental Updata of Cartographic Data in a Versioned Environment[C].Proceedings of 22nd ICA Conference,2005.1-9.
[2]张新长,郭泰圣,唐铁.一种自适应的矢量数据增量更新方法研究[J].测绘学报,2012,41(4):613-619.
[3]姬存伟,武芳,巩现勇,等.居民地要素增量信息表达模型研究[J].武汉大学学报(信息科学版),2013,38(7):857-861.
[4]BADARD T,RICHARD D.Using XML for the exchange of updating information between geographical information systems[J].Computers Environment and Urban Systems,2001,25(1):17-31.
[5]GOMBOS I M,Z ALIK B,KRIVOGRAD S.Comparing two sets of polygons[J].International Journal of Geographical Information Science,2003,17(5):431-443.
[6]周熠,孙群,刘海砚,等.用于变化发现的地理事件建模与表达[J].测绘科学技术学报,2013,30(1),87-90.
[7]邢汉发,陈军,李长辉,等.参数化的空间实体变化分类方法[J].中南大学学报(自然科学版),2014,45(2):495-500.
[8]罗国玮,张新长,齐立新.顾及地理要素变化过程的数据增量更新方法[J].中山大学学报(自然科学版),2014,53(4):131-141.
[9]陈军,林艳,刘万增,等.面向更新的空间目标快照差分类与形式化描述[J].测绘学报,2012,41(1):108-114.
[10]CLARAMUNT C,THEIAUL T M.Managing time in GIS:An event-oriented approach[A].CLIFFORD J,TUZHILIN A.Recent Advances on Temporal Databases[C].Zurich Switzerland:Springer-Verlag,1995.
[11]HORNSBY K,EGENOFER M.Identity-based change:A foundation for spatio-temporal knowledge representation[J].International Journal of Geographical Information Science,2000,14(3):207-224.
[12]周晓光,陈军.基于变化映射的时空数据动态操作[J].遥感学报,2009,13(4):653-658.
[13]周晓光,陈军,朱建军,等.基于事件的时空数据库增量更新[J].中国图形图像学报,2006,11(10):1431-1438.
[14]KLIPPEL A,WORBOYS M,DUCKHAM M.Identifying factors of geographic event conceptualisation[J].International Journal of Geographical Information Science,2008(2):183-204.
[15]姬存伟,武芳,巩现勇,等.居民地要素增量信息表达模型研究[J].武汉大学学报(信息科学版),2013,38(7):857-861.
[16]陈军,周晓光.基于拓扑联动的增量更新方法研究——以地籍数据库为例[J].测绘学报,2008,37(3):322-327.
[17]潘励,王华.利用拓扑关系模型自动检测居民地的变化类型[J].武汉大学学报(信息科学版),2009,34(3):301-304.
[18]朱华吉,吴华瑞,马少娟.空间目标增量时空变化分类模型[J].武汉大学学报(信息科学版),2013,38(3):339-343.
[19]马少娟,朱华吉.时空变化分类与表达研究[J].测绘科学,2007,32(4):88-90.
[20]朱华吉,吴华瑞.基于4因子模型的地形数据变化分类[J].长安大学学报(自然科学版),2007,27(1):59-62.
[21]邵世维.基于几何特征的多尺度矢量面状实体匹配方法研究与应用[D].武汉:武汉大学,2011.
[22]ZHAO Z Q,STOUGH R R,SONG D J.Measuring congruence of spatial objects[J].International Journal of Geographical Information Science,2011,3(1):113-130.
[2]张新长,郭泰圣,唐铁.一种自适应的矢量数据增量更新方法研究[J].测绘学报,2012,41(4):613-619.
[3]姬存伟,武芳,巩现勇,等.居民地要素增量信息表达模型研究[J].武汉大学学报(信息科学版),2013,38(7):857-861.
[4]BADARD T,RICHARD D.Using XML for the exchange of updating information between geographical information systems[J].Computers Environment and Urban Systems,2001,25(1):17-31.
[5]GOMBOS I M,Z ALIK B,KRIVOGRAD S.Comparing two sets of polygons[J].International Journal of Geographical Information Science,2003,17(5):431-443.
[6]周熠,孙群,刘海砚,等.用于变化发现的地理事件建模与表达[J].测绘科学技术学报,2013,30(1),87-90.
[7]邢汉发,陈军,李长辉,等.参数化的空间实体变化分类方法[J].中南大学学报(自然科学版),2014,45(2):495-500.
[8]罗国玮,张新长,齐立新.顾及地理要素变化过程的数据增量更新方法[J].中山大学学报(自然科学版),2014,53(4):131-141.
[9]陈军,林艳,刘万增,等.面向更新的空间目标快照差分类与形式化描述[J].测绘学报,2012,41(1):108-114.
[10]CLARAMUNT C,THEIAUL T M.Managing time in GIS:An event-oriented approach[A].CLIFFORD J,TUZHILIN A.Recent Advances on Temporal Databases[C].Zurich Switzerland:Springer-Verlag,1995.
[11]HORNSBY K,EGENOFER M.Identity-based change:A foundation for spatio-temporal knowledge representation[J].International Journal of Geographical Information Science,2000,14(3):207-224.
[12]周晓光,陈军.基于变化映射的时空数据动态操作[J].遥感学报,2009,13(4):653-658.
[13]周晓光,陈军,朱建军,等.基于事件的时空数据库增量更新[J].中国图形图像学报,2006,11(10):1431-1438.
[14]KLIPPEL A,WORBOYS M,DUCKHAM M.Identifying factors of geographic event conceptualisation[J].International Journal of Geographical Information Science,2008(2):183-204.
[15]姬存伟,武芳,巩现勇,等.居民地要素增量信息表达模型研究[J].武汉大学学报(信息科学版),2013,38(7):857-861.
[16]陈军,周晓光.基于拓扑联动的增量更新方法研究——以地籍数据库为例[J].测绘学报,2008,37(3):322-327.
[17]潘励,王华.利用拓扑关系模型自动检测居民地的变化类型[J].武汉大学学报(信息科学版),2009,34(3):301-304.
[18]朱华吉,吴华瑞,马少娟.空间目标增量时空变化分类模型[J].武汉大学学报(信息科学版),2013,38(3):339-343.
[19]马少娟,朱华吉.时空变化分类与表达研究[J].测绘科学,2007,32(4):88-90.
[20]朱华吉,吴华瑞.基于4因子模型的地形数据变化分类[J].长安大学学报(自然科学版),2007,27(1):59-62.
[21]邵世维.基于几何特征的多尺度矢量面状实体匹配方法研究与应用[D].武汉:武汉大学,2011.
[22]ZHAO Z Q,STOUGH R R,SONG D J.Measuring congruence of spatial objects[J].International Journal of Geographical Information Science,2011,3(1):113-130.