L. Carvalho and L. Fonseca, Digital change detection with the aid of multiresolution wavelet analysis, International Journal of Remote Sensing, vol.64, issue.18, p.38713876, 2001.
DOI : 10.1080/014311698214262

O. Hall and G. J. Hay, A multiscale object-specic approach to digital change detection, Int. J. of Applied Earth Observation and Geoinformation, vol.4, issue.4, p.311327, 2003.

L. Bruzzone and D. F. Prieto, An adaptative parcel-based technique for unsuper-vised change detection, Int. J. of Remote Sensing, vol.21, issue.4, p.817822, 2000.

W. Liu and V. Prinet, Probabilistic Modeling for Structural Change Inference, Proc. Asian Conf. on Computer Vision, 2006.
DOI : 10.1007/11612032_84
URL : https://hal.archives-ouvertes.fr/inria-00124202

S. Kumar and M. Herbert, Discriminative Random Fields, International Journal of Computer Vision, vol.21, issue.1, pp.179-201, 2006.
DOI : 10.1007/s11263-006-7007-9
URL : http://repository.cmu.edu/cgi/viewcontent.cgi?article=1360&context=robotics

J. Lafferty, A. Mccallum, and F. Pereira, Conditional random fields: Probabilistic models for segmenting and labeling sequence data, Proc. Int. Conf. on Machine Learning, 2001.

V. Kolmogorov and R. Zabih, What energy functions can be minimized via graph cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.147-159, 2004.
DOI : 10.1109/TPAMI.2004.1262177

B. Belmudez, Structural change detection on urban areas from high-resolution satellite images, 2007.

P. Bouthemy, C. Hardouin, G. Piriou, and J. Yao, Mixed-State Auto-Models and Motion Texture Modeling, Journal of Mathematical Imaging and Vision, vol.6, issue.4, pp.387-402, 2006.
DOI : 10.1007/s10851-006-7251-1
URL : https://hal.archives-ouvertes.fr/hal-00110360

T. Crivelli, B. Cernuschi-frias, P. Bouthemy, and J. Yao, Mixedstate markov random fields for motion texture modeling and segmentation, Proc. IEEE Int. Conf. on Image Processing, 2006.
DOI : 10.1109/icip.2006.312842

R. Wiemker, A. Speck, D. Kulbach, H. Spitzer, and J. Beinlein, Unsupervised robust change detection on multispectral imagery using spectral and spatial features, Proc. Int. Airborne Remote Sensing Conference, 1997.
DOI : 10.1007/978-3-642-72087-1_12
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.5586

J. Besag, Spatial interaction and the statistical analysis oflattice systems, J. R. Statist. Soc, vol.36, pp.192-236, 1974.