M. Baatz, C. Hoffmann, and G. Willhauck, Progressing from object-based to object-oriented image 764 analysis. Lecture Notes in Geoinformation and Cartography, pp.29-765, 2008.
DOI : 10.1007/978-3-540-77058-9_2

T. Blaschke, Towards a framework for change detection based on image objects, p.767, 2005.

T. Blaschke, Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, p.769, 2010.
DOI : 10.1016/j.isprsjprs.2009.06.004

T. Blaschke, G. J. Hay, M. Kelly, S. Lang, P. Hofmann et al., Geographic object-based image analysis towards 772 a new paradigm, ISPRS Journal of Photogrammetry and Remote Sensing, vol.771, issue.870, pp.180-191, 2014.
DOI : 10.1016/j.isprsjprs.2013.09.014

URL : http://doi.org/10.1016/j.isprsjprs.2013.09.014

F. Bonn, Précis de télédétection: Applications thématiques, 1996.

S. Cai and D. Liu, Detecting change dates from dense satellite time series using a sub-annual change 776 detection algorithm, Remote Sensing, vol.7, issue.8705, 2015.
DOI : 10.3390/rs70708705

URL : http://doi.org/10.3390/rs70708705

G. Chen, G. J. Hay, L. M. Carvalho, and M. A. Wulder, Object-based change detection, International Journal of Remote Sensing, vol.84, issue.14, pp.4434-4457, 2012.
DOI : 10.3390/s8031613

P. Coppin, I. Jonckheere, K. Nackaerts, B. Muys, and B. Lambin, Review ArticleDigital change detection methods in ecosystem monitoring: a review, International Journal of Remote Sensing, vol.83, issue.9, pp.1565-1596, 2004.
DOI : 10.1016/S0034-4257(02)00081-0

B. Gao, NDWI?A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, vol.58, issue.3, pp.257-266, 1996.
DOI : 10.1016/S0034-4257(96)00067-3

O. Hagolle, M. Huc, D. V. Pascual, and G. Dedieu, A multi-temporal method for cloud detection, applied to FORMOSAT-2, VEN??S, LANDSAT and SENTINEL-2 images, Remote Sensing of Environment, vol.114, issue.8, pp.1747-1755, 2010.
DOI : 10.1016/j.rse.2010.03.002

URL : https://hal.archives-ouvertes.fr/hal-00489793/document

M. Hussain, D. Chen, A. Cheng, H. Wei, and D. Stanley, Change detection from remotely sensed 786 images: From pixel-based to object-based approaches, ISPRS Journal of Photogrammetry and Remote, vol.787, issue.800, pp.91-106, 2013.
DOI : 10.1016/j.isprsjprs.2013.03.006

P. Defourny and B. Koetz, Assessment of an operational system for crop type map production using 790 high temporal and spatial resolution satellite optical imagery, Remote Sensing, vol.7, issue.9, 2015.

T. M. Lillesand, R. W. Kiefer, and J. W. Chipman, Remote Sensing and image interpretation, 2008.

D. Lu, P. Mausel, M. Batistella, and E. Moran, Landcover binary change detection methods for use in 797 the moist tropical region of the amazon: a comparative study, International Journal of Remote Sensing, vol.798, issue.1, pp.26-101, 2005.

R. S. Lunetta, J. F. Knight, J. Ediriwickrema, J. G. Lyon, and L. D. Worthy, Land-cover change detection using multi-temporal MODIS NDVI data, Remote Sensing of Environment, vol.105, issue.2, pp.142-801, 2006.
DOI : 10.1016/j.rse.2006.06.018

W. A. Malila, Change vector analysis: an approach for detecting forest changes with landsat, 803 LARS Symposia, p.385, 1980.

S. B. Maurer, Directed Acyclic Graphs, 2003.
DOI : 10.1201/b16132-16

F. Petitjean, C. Kurtz, N. Passat, and P. Ganarski, Spatio-temporal reasoning for the classification of satellite image time series, Pattern Recognition Letters, vol.33, issue.13, pp.1805-1815, 2012.
DOI : 10.1016/j.patrec.2012.06.009

URL : https://hal.archives-ouvertes.fr/hal-00636814

Y. Qin, Z. Niu, F. Chen, B. Li, and Y. Ban, Object-based land cover change detection for cross-sensor images, International Journal of Remote Sensing, vol.76, issue.19, pp.6723-6737, 2013.
DOI : 10.1016/j.rse.2005.08.006

V. Sagris and W. Devos, Lpis core conceptual model: methodology for feature catalogue and application 815 schema, Joint Reaearch Centre of European Commission, 2008.

A. Singh, Review Article Digital change detection techniques using remotely-sensed data, International Journal of Remote Sensing, vol.43, issue.6, pp.989-1003, 1989.
DOI : 10.1016/0034-4257(79)90013-0

C. J. Tucker, Red and photographic infrared linear combinations for monitoring vegetation, Remote 819 Sensing of Environment, pp.127-150, 1979.
DOI : 10.1016/0034-4257(79)90013-0

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

D. B. West, Introduction to graph theory, 2001.

F. Yuan, K. E. Sawaya, B. C. Loeffelholz, and M. E. Bauer, Land cover classification and change analysis 827 of the twin cities (minnesota) metropolitan area by multitemporal landsat remote sensing. Remote Sensing 828 of Environment, pp.98-317, 2005.