%0 Journal Article
%T A View-port Dependent Method for Multi-Scale Spatial Data Retrieval<br>一种视口相关的空间数据多尺度检索方法
%A CHEN Luo
%A WU Qiu-Yun
%A JING Ning College of Electronic Science
%A Engineering
%A National Univ of Defense Technology
%A Changsha
%A <br>陈荦
%A 吴秋云
%A 景宁
%J 计算机科学
%D 2005
%I 
%X Effective data selection strategy is one of the important issues of distributed spatial data retrieval. This pa- per proposes a view-port dependent method for distributed spatial data retrieval based on human vision features with fully considering the effects of view-port with different scale. By integrating the proposed model into the distributed spatial data retrieval algorithm, the method can adaptively tune the distributed data selection strategy according to the scale of current view-port. Experiment shows that the proposed method has favorable performance in small scale view-port query, and can rapidly obtain the approximate result with low cost.
%K Multi-scale spatial database
%K Data retrieval
%K Patial information system<br>检索方法
%K 空间数据
%K 视口
%K 相关
%K 多尺度
%K 数据对象
%K 人眼视觉特性
%K 选择策略
%K 分布式
%K 检索效率
%K 数据检索
%K 选择算法
%K 自适应
%K 数据量
%K 近似解
%K 查询
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=0553CD4E84FA44ED&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=5D311CA918CA9A03&eid=59906B3B2830C2C5&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11