P. R. Coppin and M. E. Bauer, Digital change detection in forest ecosystems with remote sensing imagery, vol.13, pp.207-234, 1996.

F. Kressler and K. Steinnocher, Change detection in urban areas using satellite images and spectral mixture analysis, vol.31, pp.379-383, 1996.

R. A. Bindschadler, T. A. Scambos, H. Choi, and T. M. Haran, Ice sheet change detection by satellite image differencing, Remote Sensing of Environment, vol.114, issue.7, pp.1353-1362, 2010.

Z. Qi and J. R. Cooperstock, Automated change detection in an undersea environment using a statistical background model," in OCEANS, pp.1-6, 2007.

L. Bruzzone and D. F. 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.

Y. Bazi, L. Bruzzone, and F. Melgani, An unsupervised approach based on the generalized gaussian model to automatic change detection in multitemporal sar images, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.4, pp.874-887, 2005.

Ø. Midtgaard, R. E. Hansen, T. O. Saebø, V. Myers, J. R. Dubberley et al., Change detection using synthetic aperture sonar: Preliminary results from the larvik trial, OCEANS'11 MTS/IEEE KONA, pp.1-8, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00645827

I. Quidu, N. Burlet, J. P. Malkasse, and F. Florin, Automatic classification for mcm systems, Europe Oceans 2005, vol.2, pp.844-847, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00504865

S. Reed, Y. Petillot, and J. Bell, An automatic approach to the detection and extraction of mine features in sidescan sonar, IEEE Journal of Oceanic Engineering, vol.28, issue.1, pp.90-105, 2003.

I. Quidu, V. Myers, Ø. Midtgaard, and R. E. Hansen, Subpixel image registration for coherent change detection between two high resolution sonar passes, ICoURS'12, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00777127

D. D. Sternlicht, J. K. Harbaugh, and M. A. Nelson, Experiments in coherent change detection for synthetic aperture sonar, OCEANS 2009, pp.1-5, 2009.

J. Dillon and V. Myers, Coherence estimation for repeat-pass interferometry, pp.1-5, 2014.

T. G-michael, B. Marchand, J. D. Tucker, T. M. Marston, D. D. Sternlicht et al., Image-based automated change detection for synthetic aperture sonar by multistage coregistration and canonical correlation analysis, IEEE Journal of Oceanic Engineering, issue.99, pp.1-21, 2015.

A. P. Lyons and D. C. Brown, The impact of the temporal variability of seafloor roughness on synthetic aperture sonar repeat pass interferometry, IEEE Journal of Oceanic Engineering, vol.38, issue.1, pp.91-97, 2013.

J. Ferrand and N. Mandelert, Change detection for MCM survey mission, 2012 International Conference on Detection and Classification of Underwater Targets, pp.193-206, 2012.

M. Gendron, M. Lohrenz, and J. Dubberley, Automated change detection using synthetic aperture sonar imagery, OCEANS 2009, pp.1-4, 2009.

S. Wei, H. Leung, and V. Myers, An automated change detection approach for mine recognition using sidescan sonar data, SMC 2009. IEEE International Conference on, pp.553-558, 2009.

S. Wei and H. Leung, A Markov random field approach for sidescan sonar change detection, IEEE Journal of Oceanic Engineering, vol.37, issue.4, pp.659-669, 2012.

I. Quidu, Incoherent change detection using amplitude sidescan sonar images, ECUA 2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00728972

F. Nicolas, A. Arnold-bos, I. Quidu, and B. Zerr, Fourier-based blockmatching algorithm for non-rigid sonar images registration in a multiresolution framework, MOQESM'16, 2016.

E. J. Rignot and J. J. Van-zyl, Change detection techniques for ers-1 sar data, IEEE transactions on geoscience and remote sensing, vol.31, pp.896-906, 1993.

P. Blondel, The Handbook of Sidescan Sonar, ser, 2010.

, Estimation of noise parameters on sonar images, vol.2823, 1996.

M. Mignotte and C. Collet, Three-class markovian segmentation of high resolution sonar images, Comput. Vis. Image Understand, pp.191-204, 1999.

I. Quidu, Classification multi-vues d'un objet immergéà partir d'images sonar et de son ombre portée sur le fond, Gilles Electronique Brest, 2001.

S. S. Shapiro and M. B. Wilk, An analysis of variance test for normality (complete samples), Biometrika, vol.52, issue.3/4, pp.591-611, 1965.

B. Benmiloud and W. Pieczynski, Estimation des paramètres dans les chaînes de Markov cachées et segmentation d'images, Traitement du signal, vol.12, pp.433-454, 1995.

C. Carincotte, S. Derrode, and S. Bourennane, Unsupervised change detection on SAR images using fuzzy hidden Markov chains, IEEE Trans. Geoscience and Remote Sensing, vol.44, issue.2, pp.432-441, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00082617

H. Sagan, Space-filling curves, 2012.

L. E. Baum, An inequality and associated maximization technique in statistical estimation for probabilistic functions of Markov processes, Inequalities III: Proceedings of the Third Symposium on Inequalities, O. Shisha, pp.1-8, 1972.

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001.

G. D. Forney, The viterbi algorithm, Proceedings of the IEEE, vol.61, issue.3, pp.268-278, 1973.

S. Kumar and M. Hebert, Discriminative Fields for Modeling Spatial Dependencies in Natural Images, 2003.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems, p.2012