摘要
为了解决障碍物环境中连续反向最近邻的查询问题,考虑到障碍物的存在,将可视性加到连续反向最近邻查询中,提出了一种新的连续反向最近邻查询的变体——连续可视反向最近邻查询.给出了线段可视性判断方法和相应的剪枝策略,提出了连续可视反向最近邻查询算法.该算法通过过滤步骤得到一个候选集,通过精炼步骤去掉错误的候选,通过分裂步骤找到查询结果.实验结果表明,该算法的执行时间与查询线段的长度呈线性关系增长,查询效率较高.
In order to solve the problem of CRNN (continuous reverse nearest neighbor) query in an obstacle environment, the visibility was added to the CRNN query by taking obstacles into consideration, and a novel variant of CRNN queries, namely continuous visible reverse nearest neighbor (CVRNN) search, was introduced. The segment visibility judgment method and the corresponding pruning strategy were given. A CVRNN query processing algorithm was proposed. With this algorithm, a candidate set is gotten through a filter step, the wrong candidates were removed by a refinement step, and query results are founded through a splitting step. Experimental results show that the algorithm execution time increases linearly with the length of query line segment, and the proposed algorithm has a high query efficiency.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2012年第3期451-457,共7页
Journal of Southwest Jiaotong University
基金
国家自然科学基金资助项目(60673136)
黑龙江省自然科学基金资助项目(F200601)
关键词
障碍
空间查询
空间数据库
可视性
obstruct
spatial query
spatial database
visibility
作者简介
作者简介:杨泽雪(1978-),女,讲师,博士研究生,研究方向为空间数据库查询,电话:13091434533,E-mail:yzx1978@126.com.
郝忠孝(1940-),男,教授,博士生导师,研究方向为空值环境下数据库理论、无环数据库、主动数据库、时态数据库和空间数据库理论及应用等.