DocumentCode
2102799
Title
Data stream mining for multitemporal remote sensing data
Author
Abuomar, O. ; King, R. ; Younan, N.
Author_Institution
Center for Advanced Vehicular Systems (CAVS), Mississippi State, MS 39762
fYear
2015
fDate
22-24 July 2015
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
Data mining; Database languages; Databases; Market research; Real-time systems; Remote sensing; Time series analysis; Multitemporal remote sensing; mining time-series data; similarity search; trend analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Analysis of Multitemporal Remote Sensing Images (Multi-Temp), 2015 8th International Workshop on the
Conference_Location
Annecy, France
Type
conf
DOI
10.1109/Multi-Temp.2015.7245745
Filename
7245745
Link To Document