Data stream mining for multitemporal remote sensing data

One of applications of data stream mining is multitemporal remote sensing where many algorithms and techniques have been evolving in order to accommodate real time data and analysis for knowledge discovery and real time control. Mining time-series multitemporal remote sensing is considered the key milestone in this area. In this paper, several aspects of mining time-series remote sensing databases are examined, with a focus on trend analysis and similarity search.