TY - GEN
T1 - Analysing satellite image time series by means of pattern mining
AU - Petitjean, François
AU - Gançarski, Pierre
AU - Masseglia, Florent
AU - Forestier, Germain
PY - 2010
Y1 - 2010
N2 - Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by studying two images and analysing their differences. However, those methods do not exploit the whole set of images that is available today and they do not propose a description of the detected changes. We propose a sequential pattern mining approach for these image time series with two important features. First, our proposal allows for the analysis of all the images in the series and each image can be considered from multiple points of view. Second, our technique is specifically designed towards image time series where the changes are not the most frequent patterns that can be discovered. Our experiments show the relevance of our approach and the significance of our patterns.
AB - Change detection in satellite image time series is an important domain with various applications in land study. Most previous works proposed to perform this detection by studying two images and analysing their differences. However, those methods do not exploit the whole set of images that is available today and they do not propose a description of the detected changes. We propose a sequential pattern mining approach for these image time series with two important features. First, our proposal allows for the analysis of all the images in the series and each image can be considered from multiple points of view. Second, our technique is specifically designed towards image time series where the changes are not the most frequent patterns that can be discovered. Our experiments show the relevance of our approach and the significance of our patterns.
UR - http://www.scopus.com/inward/record.url?scp=78049381893&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15381-5_6
DO - 10.1007/978-3-642-15381-5_6
M3 - Conference Paper
AN - SCOPUS:78049381893
SN - 3642153801
SN - 9783642153808
VL - 6283 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 45
EP - 52
BT - Intelligent Data Engineering and Automated Learning, IDEAL 2010 - 11th International Conference, Proceedings
T2 - 11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010
Y2 - 1 September 2010 through 3 September 2010
ER -