C. E. Antoniak, Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems, The Annals of Statistics, vol.2, issue.6, pp.1152-1174, 1974.
DOI : 10.1214/aos/1176342871

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.
DOI : 10.1109/TGRS.2004.842441

D. Blackwell and J. Macqueen, Ferguson Distributions Via Polya Urn Schemes, The Annals of Statistics, vol.1, issue.2, pp.353-355, 1973.
DOI : 10.1214/aos/1176342372
URL : http://projecteuclid.org/download/pdf_1/euclid.aos/1176342372

L. Bruzzone and D. Prieto, An iterative technique for the detection of land-cover transitions in multitemporal remote-sensing images, IEEE Transactions on Geoscience and Remote Sensing, vol.35, issue.4, pp.858-867, 1997.
DOI : 10.1109/36.602528

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

L. Bruzzone and D. Prieto, An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images, IEEE Transactions on Image Processing, vol.11, issue.4, pp.452-466, 2002.
DOI : 10.1109/TIP.2002.999678

C. Carincotte, S. Derrode, and S. Bourennane, Unsupervised change detection on SAR images using fuzzy hidden Markov chains, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.2, pp.432-441, 2006.
DOI : 10.1109/TGRS.2005.861007
URL : https://hal.archives-ouvertes.fr/hal-00082617

W. G. Carrara, R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar: Signal Processing Algorithms, 1995.

G. Casella and E. I. George, Explaining the Gibbs sampler, Amer. Statist, vol.46, pp.167-174, 1992.
DOI : 10.1080/00031305.1992.10475878

T. Celik, Multiscale Change Detection in Multitemporal Satellite Images, IEEE Geoscience and Remote Sensing Letters, vol.6, issue.4, pp.820-824, 2009.
DOI : 10.1109/LGRS.2009.2026188

T. Celik, Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and <formula formulatype="inline"><tex Notation="TeX">$k$</tex></formula>-Means Clustering, IEEE Geoscience and Remote Sensing Letters, vol.6, issue.4, pp.772-776, 2009.
DOI : 10.1109/LGRS.2009.2025059

T. Celik and M. Kai-kuang, Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.3, pp.1199-1210, 2010.
DOI : 10.1109/TGRS.2009.2029095

M. Chabert and J. Tourneret, Bivariate pearson distributions for remote sensing images, 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.4038-4041, 2011.
DOI : 10.1109/IGARSS.2011.6050118

F. Chatelain, J. Tourneret, A. Ferrari, and J. Inglada, Bivariate Gamma Distributions for Image Registration and Change Detection, IEEE Transactions on Image Processing, vol.16, issue.7, pp.1796-1806, 2007.
DOI : 10.1109/TIP.2007.896651
URL : https://hal.archives-ouvertes.fr/hal-00474882

S. Chatzis and G. Tsechpenakis, The Infinite Hidden Markov Random Field Model, IEEE Transactions on Neural Networks, vol.21, issue.6, pp.1004-1014, 2010.
DOI : 10.1109/TNN.2010.2046910

J. C. Curlander and R. N. Mcdonough, Synthetic Aperture Radar: Systems and Signal Processing, Wiley Ser. Remote Sensing Image Process, 1991.

M. D. Escobar and M. West, Bayesian Density Estimation and Inference Using Mixtures, Journal of the American Statistical Association, vol.55, issue.430, pp.577-588, 1995.
DOI : 10.1080/01621459.1987.10478458
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.1747

T. Ferguson, A Bayesian Analysis of Some Nonparametric Problems, The Annals of Statistics, vol.1, issue.2, pp.209-230, 1973.
DOI : 10.1214/aos/1176342360

R. Fjortoft, A. Lopés, P. Marthon, and E. , An optimal multiedge detector for SAR image segmentation, IEEE Transactions on Geoscience and Remote Sensing, vol.36, issue.3, pp.793-802, 1988.
DOI : 10.1109/36.673672

V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. Holtzman, A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.4, issue.2, pp.157-166, 1982.
DOI : 10.1109/TPAMI.1982.4767223

T. Fung, An Assessment Of TM Imagery For Land-cover Change Detection, IEEE Transactions on Geoscience and Remote Sensing, vol.28, issue.4, pp.681-684, 1990.
DOI : 10.1109/TGRS.1990.572980

H. Ge, Y. Chen, M. Wan, and Z. Ghahramani, Distributed inference for Dirichlet process mixture models, Proceedings of the International Conference on Machine Learning, pp.2276-2284, 2015.

A. Gelman and D. B. Rubin, Inference from Iterative Simulation Using Multiple Sequences, Statistical Science, vol.7, issue.4, pp.457-472, 1992.
DOI : 10.1214/ss/1177011136

S. J. Gershman and D. M. Blei, A tutorial on Bayesian nonparametric models, Journal of Mathematical Psychology, vol.56, issue.1, pp.1-12, 2012.
DOI : 10.1016/j.jmp.2011.08.004
URL : http://arxiv.org/abs/1106.2697

A. Ghosh, B. N. Subudhi, and L. Bruzzone, Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images, IEEE Transactions on Image Processing, vol.22, issue.8, pp.3087-3096, 2013.
DOI : 10.1109/TIP.2013.2259833

S. Ghosh, L. Bruzzone, S. Patra, F. Bovolo, and A. Ghosh, A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.3, pp.778-789, 2007.
DOI : 10.1109/TGRS.2006.888861

L. Giustarini, R. Hostache, P. Matgen, G. J. Schumann, P. D. Bates et al., A Change Detection Approach to Flood Mapping in Urban Areas Using TerraSAR-X, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.4, pp.51-2417, 2013.
DOI : 10.1109/TGRS.2012.2210901

G. R. Grimmett, A Theorem about Random Fields, Bulletin of the London Mathematical Society, vol.5, issue.1, pp.81-84, 1973.
DOI : 10.1112/blms/5.1.81

H. L. Harney, Bayesian Inference: Parameter Estimation and Decisions, Adv. Texts Phys, 2003.

J. Inglada and A. Giros, On the possibility of automatic multisensor image registration, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2104-2120, 2004.
DOI : 10.1109/TGRS.2004.835294
URL : https://hal.archives-ouvertes.fr/hal-00569950

J. Inglada and G. Mercier, A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.5, pp.1432-1445, 2009.
DOI : 10.1109/TGRS.2007.893568
URL : https://hal.archives-ouvertes.fr/hal-00582539

H. Jeffreys, An Invariant Form for the Prior Probability in Estimation Problems, Proc. R. Soc. A, pp.453-461, 1946.
DOI : 10.1098/rspa.1946.0056

J. Lee, Speckle Suppression And Analysis For Synthetic Aperture Radar Images, Optical Engineering, vol.25, issue.5, p.255636, 1986.
DOI : 10.1117/12.7973877

L. Liu, Y. Jiang, and C. Wang, Noise Analysis and Image Restoration for Optical Sparse Aperture Systems, 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, pp.353-356, 2008.
DOI : 10.1109/ETTandGRS.2008.125

G. Mercier, G. Moser, and S. B. Serpico, Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.5, pp.1428-1441, 2008.
DOI : 10.1109/TGRS.2008.916476

R. M. Neal, Markov chain sampling methods for Dirichlet process mixture models, J. Comput. Graph. Statist, vol.9, pp.249-265, 2000.
DOI : 10.1080/10618600.2000.10474879

C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images, Artech House, 1998.

P. Orbanz and J. M. Buhmann, Nonparametric Bayesian Image Segmentation, International Journal of Computer Vision, vol.61, issue.3, pp.25-45, 2008.
DOI : 10.1007/s11263-007-0061-0

P. Orbanz and Y. W. Teh, Bayesian nonparametric models, Encyclopedia of Machine Learning, pp.81-89, 2010.

F. Pacifici and F. D. Frate, Automatic Change Detection in Very High Resolution Images With Pulse-Coupled Neural Networks, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.1, pp.58-62, 2010.
DOI : 10.1109/LGRS.2009.2021780

F. Pacifici, F. D. Frate, C. Solimini, and W. J. Emery, An Innovative Neural-Net Method to Detect Temporal Changes in High-Resolution Optical Satellite Imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.9, pp.2940-2952, 2007.
DOI : 10.1109/TGRS.2007.902824

O. Papaspiliopoulos and G. Roberts, Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models, Biometrika, vol.95, issue.1, pp.95-169, 2008.
DOI : 10.1093/biomet/asm086

W. W. Peterson, T. G. Birdsall, and W. Fox, The theory of signal detectability, Transactions of the IRE Professional Group on Information Theory, vol.4, issue.4, pp.171-212, 1954.
DOI : 10.1109/TIT.1954.1057460

R. B. Potts, Some generalized order-disorder transformations, Mathematical Proceedings of the Cambridge Philosophical Society, vol.48, issue.01, pp.106-109, 1952.
DOI : 10.1103/PhysRev.60.252

V. Poulain, J. Inglada, M. Spigai, J. Tourneret, and P. Marthon, High-Resolution Optical and SAR Image Fusion for Building Database Updating, IEEE Transactions on Geoscience and Remote Sensing, vol.49, issue.8, pp.2900-2910, 2011.
DOI : 10.1109/TGRS.2011.2113351

C. Pratola, F. D. Frate, G. Schiavon, and D. Solimini, Toward Fully Automatic Detection of Changes in Suburban Areas From VHR SAR Images by Combining Multiple Neural-Network Models, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.4, pp.51-2055, 2013.
DOI : 10.1109/TGRS.2012.2236846

J. Prendes, M. Chabert, F. Pascal, A. Giros, and J. Tourneret, A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014.
DOI : 10.1109/ICASSP.2014.6854628
URL : https://hal.archives-ouvertes.fr/hal-01104184

J. Prendes, M. Chabert, F. Pascal, A. Giros, and J. Tourneret, A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors, IEEE Transactions on Image Processing, vol.24, issue.3, pp.799-812, 2015.
DOI : 10.1109/TIP.2014.2387013
URL : https://hal.archives-ouvertes.fr/hal-01127988

G. Quin, B. Pinel-puyssegur, J. Nicolas, and P. Loreaux, MIMOSA: An Automatic Change Detection Method for SAR Time Series, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.9, pp.5349-5363, 2014.
DOI : 10.1109/TGRS.2013.2288271

E. J. Rignot and J. Van-zyl, Change detection techniques for ERS-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing, vol.31, issue.4, pp.31-896, 1993.
DOI : 10.1109/36.239913

C. P. Robert and G. Casella, Monte Carlo Statistical Methods, Texts in Statistics, 2005.

R. A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, 2006.

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. D. Storie, J. Storie, and G. Salinas-de-salmuni, Urban boundary extraction using 2-component polarimetric SAR decomposition, 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.5741-5744
DOI : 10.1109/IGARSS.2012.6352307

Y. W. Teh and M. I. Jordan, Hierarchical Bayesian nonparametric models with applications, 2010.
DOI : 10.1017/CBO9780511802478.006

C. Tison, J. Nicolas, F. Tupin, and H. Maitre, A new statistical model for Markovian classification of urban areas in high-resolution SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.42, issue.10, pp.2046-2057, 2004.
DOI : 10.1109/TGRS.2004.834630
URL : https://hal.archives-ouvertes.fr/hal-00556167

R. Touzi, A. Lopés, and P. Bousquet, A statistical and geometrical edge detector for SAR images, IEEE Transactions on Geoscience and Remote Sensing, vol.26, issue.6, pp.764-773, 1988.
DOI : 10.1109/36.7708

P. Uprety and F. Yamazaki, Use of high-resolution SAR intensity images for damage detection from the 2010 Haiti earthquake, 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.6829-6832
DOI : 10.1109/IGARSS.2012.6352595

D. A. Van-dyk and T. Park, Partially Collapsed Gibbs Samplers, Journal of the American Statistical Association, vol.103, issue.482, pp.790-796, 2008.
DOI : 10.1198/016214508000000409

J. D. Villasenor, D. R. Fatland, and L. D. Hinzman, Change detection on Alaska's north slope using repeat-pass ERS-1 SAR imagery, IEEE Trans. Geosci. Remote Sens, pp.31-227, 1993.