摘要
为了检测时空数据之间的发展变化关系,本文研究时空数据的动态关联技术,提出了一种动态关联算法和一种基本的时空变化类型。该算法用几何特征和属性特征相结合的方法进行匹配和变化检测,可以匹配时空对象并自动提取变化情况,能够解决一对一、一对多、多对一和多对多的变化关系,并且可以检测出时空对象的移动变化情况。
In order to detect the developing and changing relationship of spatio-temporal data, this paper studied the dynamical correlation technology of spatio-temporal data, proposed and implemented a dynamic correlation algorithm and a basic type of spatio- temporal change. This algorithm combined geometrical correlation with attributes correlation to launch matching and detecting changes, so that it matched spatio-temporal data and extracted changes automatically. This algorithm could solve the relationships as one to one, one to multi, multi to one and multi to multi changes, and detect the moving and changing states of spatio-temporal objects.
出处
《测绘科学》
CSCD
北大核心
2013年第2期156-159,共4页
Science of Surveying and Mapping
基金
国家863基金资助项目(2009AA121404)
关键词
动态关联
时空数据
变化检测
匹配
dynamical correlation
spatio-temporal data
change detection
matching
作者简介
作者简介：姚春雨（1983-），男，硕士，主要从事GIS开发、应用与数据匹配等方面研究。E—mail：yaochunyu236@163．com
