Study on time-line correlation analysis method for analyzing the spatial and temporal relation among heterogeneous sensing data

提出了一种时间线相关性分析方法，用于分析不同分辨率下异构遥感数据之间的时空关系。我们开发的方法是一个多阶段的聚类方法，它是由三个阶段。第一种是将连续时间线数据作为一个段进行单流聚类，第二种是多流聚类，最后一种是多流分类。

We aimed to develop a time-line correlation analysis method for analyzing the spatial and temporal relation among heterogeneous sensing data in various resolution. Our developed method is a multiple-stage clustering method that is composed of three stages. The first is a single stream clustering of continuous time-line data as a segment, second is a multi-stream clustering and the last is a multi-stream classification.