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最大空圆约束下的最邻近计算方法
引用本文:闫超德,郭王,白建军,贺添,赵姗.最大空圆约束下的最邻近计算方法[J].测绘科学,2012,37(6):157-159.
作者姓名:闫超德  郭王  白建军  贺添  赵姗
作者单位:1. 郑州大学水利与环境学院,郑州,450001
2. 陕西师范大学旅游与环境学院,西安,710062
摘    要:移动目标的最邻近查询是位置服务的重要内容之一。本文针对地理目标分布不均的情况,将离散点集的最大空圆参数引入到最邻近查询中,提出了最大空圆约束下的k-D树最邻近查询算法。通过实验证明该算法可以有效地减少节点访问次数,减少距离计算次数,从而提高最邻近的查询效率。进而将该算法应用于移动目标的k阶邻近查询中,可以有效地减少移动点在三角网中的定位次数,改善k阶邻近的查询效率。

关 键 词:移动目标  最大空圆  k-D树  最邻近查询  k阶邻近查询

Nearest neighbor searching algorithm with largest empty circle constraint
YAN Chao-de , GUO Wang , BAI Jian-jun , HE Tian , ZHAO Shan.Nearest neighbor searching algorithm with largest empty circle constraint[J].Science of Surveying and Mapping,2012,37(6):157-159.
Authors:YAN Chao-de  GUO Wang  BAI Jian-jun  HE Tian  ZHAO Shan
Institution:①(①School of Environment and Water Conservancy Engineering,Zhengzhou University,Zhengzhou 450001,China;②School of Tourism and Environment,Shanxi Normal University,Xi’an 710062,China)
Abstract:The nearest neighbor queries of moving objects are of important service terms in LBS(Location-Based Services)field.But the uneven distribution of geographical objects greatly deteriorates the searching efficiency.This paper proposed an optimization nearest neighbor searching algorithm based on k-D tree with the largest empty circle constraint of discrete point set.The experiment showed the new algorithm could be better comparing with non-constraint algorithm in searching efficiency,because it effectively reduced the number of visiting nodes also the number of calculating distance.Furthermore,this algorithm could be used in searching k-order neighbor objects of moving objects to reduce the positioning number in the triangle network.
Keywords:moving object  largest empty circle  k-D tree  nearest neighbor  k-order neighbor
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