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基于多重近似索引的空间距离半连接

Spatial Distance Semi-Join Based on Multi-Approximate Spatial Index

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【作者】 林伟华谈晓军余艳毛典辉

【Author】 LIN Wei-hua1,TAN Xiao-jun2,YU Yan3,MAO Dian-hui4 1.Faculty of Information Engineering,China University of Geosciences,Wuhan 430074,China 2.Digital Engineering Research Center,Huazhong University of Science and Technology,Wuhan 430074,China 3.Wenhua College,Huazhong University of Science and Technology,Wuhan 430074,China 4.School of Computer and Information Engineering,Beijing Technology and Business University,Beijing 100048,China

【机构】 中国地质大学信息工程学院华中科技大学仿真与数字化工程中心华中科技大学文华学院北京工商大学计算机与信息工程学院

【摘要】 为了更有效地解决基于外部近似索引空间距离半连接效率较低问题,提出一种基于多重近似索引的空间距离半连接处理方法.该方法在充分利用多重近似索引结构特征基础上,推导出在半连接处理中的距离和空间对象数量约束关系,并在距离半连接算法中利用这些约束关系进行连接处理,从而减少了进行精过滤处理空间对象的数量.通过实验分析表明,基于多重近似索引的距离半连接算法有效,并且基于多重近似索引比基于外部近似索引的距离半连接效率要高.

【Abstract】 To improve the efficiency for space distance semi-join based on external approximation index,a method of spatial distance semi-join based on multi-approximate index is proposed.The constraint relationship of distance and the number of spatial objects during processing semi-join are deduced based on taking advantage of characteristics of multi-approximate index structure.And these are used during spatial distance semi-join to reduce the number of spatial objects needed to process during refine filter step.A series of tests and verifications indicate that the new method of spatial distance semi-join is valid and the performance of index based on multi-approximation is more effective than the index based on external approximation during processing spatial distance semi-join.

【基金】 国家自然科学基金资助项目(No.40601072);国家重点“863”项目(No.2007AA120503)
  • 【文献出处】 地球科学(中国地质大学学报) ,Earth Science(Journal of China University of Geosciences) , 编辑部邮箱 ,2010年03期
  • 【分类号】TP311.13
  • 【被引频次】1
  • 【下载频次】122
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