海量激光图像数据库的查询优化研究  

Research on Query Optimization of mass laser image database

作　　者：陈芳 余员琴 CHEN Fang;YU Yuanqin(School of Electrical and Information Engineering,Hunan Institute of Communication Engineering,Hengyan Hunan 421000)

机构地区：[1]湖南交通工程学院

出　　处：《激光杂志》2018年第10期129-132,共4页Laser Journal

基　　金：湖南省(No.2017-627)

摘　　要：传统海量激光图像数据库查询方法不能实现快速、准确的激光图像查询,为此提出基于多层分布式的海量激光图像数据库的查询优化方法,首先采用K均值迭代算法对数据库进行聚类分析,对聚类结果建立索引,然后采用多层分布式查询优化方法对聚类结果进行分层,运用Apriori算法处理不同层间的关系,防止底层出现较多候查聚类结果问题,实现海量激光图像数据库的查询优化。实验结果表明,所提方法在有效进行海量激光图像数据库的查询同时,查准率,稳定性及效率较高。the traditional query method of mass laser image database can not realize fast and accurate query of laser image. Therefore,a query optimization method based on multi-layer distributed mass laser image database is proposed. First,the K mean iterative algorithm is used to cluster analysis of the database,and the clustering results are indexed and then adopted. The multi-layer distributed query optimization method stratified the clustering results,and used the Apriori algorithm to deal with the relationships among different layers,so as to avoid the problem of clustering results and realize the query optimization of the mass laser image database. Experimental results show that the proposed method is effective for massive laser image database query,with high precision,stability and efficiency.

关 键 词：海量激光图像 数据库查询优化 K均值迭代算法 多层分布式方法 

分 类 号：TN297[电子电信—物理电子学]