P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin, DIGITAL CHANGE DETECTION METHODS IN NATURAL ECOSYSTEM MONITORING: A REVIEW, Analysis of Multi-Temporal Remote Sensing Images, pp.1565-1596, 2004.
DOI : 10.1142/9789812777249_0001

D. Lu, P. Mausel, E. Brondizio, and E. Moran, Change detection techniques, International Journal of Remote Sensing, vol.66, issue.12, pp.2365-2401, 2004.
DOI : 10.1659/0276-4741(2001)021[0175:LCCATA]2.0.CO;2

L. Bruzzone and D. Prieto, Automatic analysis of the difference image for unsupervised change detection, IEEE Transactions on Geoscience and Remote Sensing, vol.38, issue.3, pp.1171-1182, 2000.
DOI : 10.1109/36.843009

J. R. Jensen, Urban Change Detection Mapping Using Landsat Digital Data, Cartography and Geographic Information Science, vol.8, issue.2, pp.127-147, 1981.
DOI : 10.1559/152304081784447318

Y. O. Ouma, S. Josaphat, and R. Tateishi, Multiscale remote sensing data segmentation and post-segmentation change detection based on logical modeling: Theoretical exposition and experimental results for forestland cover change analysis, Computers & Geosciences, vol.34, issue.7, pp.715-737, 2008.
DOI : 10.1016/j.cageo.2007.05.021

R. Johnson and E. Kasischke, Change vector analysis: A technique for the multispectral monitoring of land cover and condition, International Journal of Remote Sensing, vol.19, issue.3, pp.411-426, 1998.
DOI : 10.1080/014311698216062

G. Foody, Monitoring the magnitude of land-cover change around the southern limits of the Sahara, Photogrammetric Engineering and Remote Sensing, vol.67, issue.7, pp.841-848, 2001.

P. Howarth, J. Piwowar, and A. Millward, Time-Series Analysis of Medium-Resolution, Multisensor Satellite Data for Identifying Landscape Change, Photogrammetric engineering and remote sensing, pp.653-663, 2006.

R. E. Kennedy, W. B. Cohen, and T. A. Schroeder, Trajectory-based change detection for automated characterization of forest disturbance dynamics, Remote Sensing of Environment, vol.110, issue.3, pp.370-386, 2007.
DOI : 10.1016/j.rse.2007.03.010

L. Andres, W. Salas, and D. Skole, Fourier analysis of multi-temporal AVHRR data applied to a land cover classification, International Journal of Remote Sensing, vol.15, issue.5, pp.1115-1121, 1994.
DOI : 10.1007/BF02546511

P. Jönsson and L. Eklundh, TIMESAT???a program for analyzing time-series of satellite sensor data, Computers & Geosciences, vol.30, issue.8, pp.833-845, 2004.
DOI : 10.1016/j.cageo.2004.05.006

J. Verbesselt, R. Hyndman, G. Newnham, and D. Culvenor, Detecting trend and seasonal changes in satellite image time series, Remote Sensing of Environment, vol.114, issue.1, pp.106-115, 2010.
DOI : 10.1016/j.rse.2009.08.014

F. Petitjean, P. Gançarski, F. Masseglia, and G. Forestier, Analysing Satellite Image Time Series by Means of Pattern Mining, 11th International Conference on Intelligent Data Engineering and Automated Learning, pp.45-52, 2010.
DOI : 10.1007/978-3-642-15381-5_6

R. Kennedy, Z. Yang, and W. Cohen, Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr ??? Temporal segmentation algorithms, Remote Sensing of Environment, vol.114, issue.12, pp.2897-2910, 2010.
DOI : 10.1016/j.rse.2010.07.008

T. Blaschke, Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, pp.2-16, 2010.
DOI : 10.1016/j.isprsjprs.2009.06.004

M. Herold, X. Liu, and K. Clarke, Spatial Metrics and Image Texture for Mapping Urban Land Use, Photogrammetric Engineering & Remote Sensing, vol.69, issue.9, pp.991-1001, 2003.
DOI : 10.14358/PERS.69.9.991

A. Carleer and E. Wolff, Urban land cover multi-level region-based classification of VHR data by selecting relevant features, International Journal of Remote Sensing, vol.27, issue.6, pp.1035-1051, 2006.
DOI : 10.1080/01431160500297956

C. Kurtz, N. Passat, P. Gançarski, and A. Puissant, Multi-resolution region-based clustering for urban analysis, International Journal of Remote Sensing, vol.1, issue.22, pp.5941-5973, 2010.
DOI : 10.1109/LGRS.2009.2020825

L. Gueguen, C. Le-men, and M. Datcu, Analysis of Satellite Image Time Series Based on Information Bottleneck, AIP Conference Proceedings, pp.367-374, 2006.
DOI : 10.1063/1.2423296

F. Moscheni, S. Bhattacharjee, and M. Kunt, Spatio-temporal segmentation based on region merging, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.9, pp.897-915, 1998.
DOI : 10.1109/34.713358

L. Bruzzone and L. Carlin, A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.9, pp.2587-2600, 2006.
DOI : 10.1109/TGRS.2006.875360

D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.
DOI : 10.1109/34.1000236

X. Huang and L. Zhang, An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.12, pp.4173-4185, 2008.
DOI : 10.1109/TGRS.2008.2002577

J. Macqueen, Some methods for classification and analysis of multivariate observations, Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967.

F. Petitjean, J. Inglada, and P. Gançarski, Clustering of satellite image time series under Time Warping, 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), pp.69-72, 2011.
DOI : 10.1109/Multi-Temp.2011.6005050

S. Idbraim, D. Ducrot, D. Mammass, and D. Aboutajdine, An unsupervised classification using a novel ICM method with constraints for land cover mapping from remote sensing imagery, International Review on Computers and Software, vol.4, issue.2, pp.165-176, 2009.

R. Congalton, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sensing of Environment, vol.37, issue.1, pp.35-46, 1991.
DOI : 10.1016/0034-4257(91)90048-B

C. Kurtz, N. Passat, P. Gançarski, and A. Puissant, Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology, Pattern Recognition, vol.45, issue.2, pp.685-706, 2012.
DOI : 10.1016/j.patcog.2011.07.017