DocumentCode :
3639293
Title :
Extraction of frequent grouped sequential patterns from Satellite Image Time Series
Author :
A. Julea;N. Méger;C. Rigotti;M-P. Doin;C. Lasserre;E. Trouvé;P. Bolon;V. Lăzărescu
Author_Institution :
Université
fYear :
2010
Firstpage :
3434
Lastpage :
3437
Abstract :
This paper presents an original data mining approach for extracting pixel evolutions and sub-evolutions from Satellite Image Time Series. These patterns, called frequent grouped sequential patterns, represent the (sub-)evolutions of pixels over time, and have to satisfy two constraints: firstly to correspond to at least a given minimum surface and secondly to be shared by pixels that are sufficiently connected. These spatial constraints are actively used to face large data volumes and to select evolutions making sense for end-users. Successful experiments on an optical and a radar SITS are presented.
Keywords :
"Pixel","Satellites","Data mining","Laser radar","Remote sensing","Time series analysis","Delay"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2010.5654127
Filename :
5654127
Link To Document :
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