摘要：

针对空间位置固定而属性值趋势变化的时空数据相似度评判问题,在采用Biharmonic样条建立趋势面的基础上,提出一种新的时空数据相似度算法。利用网格抽取和色阶映射形成趋势面图像,将时空数据趋势状态表征为图像的结构信息,以趋势面图像之间的相似度来表征时空数据的相似度,并通过结构相似性给出时空数据结构相似度评价方案,实现时间维度的相似度合成,避免传统依靠向量空间分析的片面性,为一定时间窗口下的时空数据相似度分析提供解决方案。实验结果表明,该算法能够有效刻画时空数据所蕴含的趋势信息,提高该类时空数据相似度算法的适用性。

关键词: 时空数据, 趋势面, 结构相似度算法, Biharmonic样条, Green函数

Abstract:

Aiming at the problem of spatio-temporal data similarity evaluation with fixed spatial position and trend of attribute value trend,based on the Biharmonic spline to establish the trend surface,a new spatio-temporal data similarity algorithm is proposed.The trend surface image is formed by mesh extraction and color gradation mapping,and the trend state of the spatio-temporal data is characterized as the structural information of the image.The similarity of spatio-temporal data is characterized by the similarity between the trend surface images,and through Structural Similarity(SSIM),the similarity evaluation scheme of spatio-temporal data structure is given,and the similarity synthesis of time dimension is implemented to avoid the one-sidedness of traditional relying on vector space analysis,and a solution for spatio-temporal data similarity analysis is provided under a certain time window.Experimental results show that the algorithm can effectively describe the trend information contained in spatio-temporal data and improve the applicability of such spatio-temporal data similarity algorithm.

Key words: spatio-temporal data, trend surface, Structural Similarity(SSIM) algorithm, Biharmonic spline, Green function

中图分类号: 

• TP311