J. Besag, Spatial interaction and the statistical analysis of lattice systems, Journal of the Royal Statistical Society: Series B, vol.36, pp.192-236, 1974.

L. Blanc-ferraud and M. Baralaud, Restauration d'images bruitées par analyse multi résolution et champs de Markov, Traitement du Signal, vol.10, issue.2, pp.171-184, 1990.

M. Borsotti, P. Campadelli, and R. Schettini, Quantitative evaluation of color image segmentation results, Pattern Recognition Letters, vol.19, pp.741-747, 1998.

Q. Dai, G. Liu, C. Wang, and L. Wang, A remote sensing image segmentation method based on spectral and structure information fusion. The international archives of the photogrammetry, Remote sensing and spatial information sciences, vol.38, 2008.

H. Deng and D. A. Clausi, Unsupervised image segmentation using a simple MRF model with a new implementation scheme, Pattern Recognition, vol.37, pp.2323-2335, 2004.

J. Fan, M. Han, and J. Wang, Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation, Pattern Recognition, vol.42, issue.11, pp.2527-2540, 2009.

S. Geman and D. Gemain, Stochastic relaxation, Gibbs distribution, and the Bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, issue.6, pp.721-741, 1984.

R. M. Haralick and L. G. Shapiro, Computer and robot vision, vol.1, 1992.

A. F. Hasler, J. Stong, R. H. Woodward, and H. Pierce, Automatic analysis of stereoscopic satellite image pairs for determination of cloud-top height and structure, Journal of Applied Meteorology, vol.30, pp.257-281, 1991.

L. Jiao, M. Gong, S. Wang, B. Hou, Z. Zheng et al., Natural and remote sensing image segmentation using memetic computing, Computational Intelligence Magazine IEEE, vol.5, issue.2, pp.78-91, 2010.

I. Jobard and M. Desbois, Remote sensing of rainfall over tropical Africa using Meteosat infrared imagery: sensitivity to time and space averaging, International Journal of Remote Sensing, vol.13, issue.14, pp.2683-2700, 1992.

Z. Kato and T. C. Pong, A Markov field image segmentation model for color textured images. Image and Vision Computing, vol.24, pp.1103-1114, 2006.

J. Keuche, S. Naumann, M. Heiler, and A. Siegmund, Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data, Remote Sensing of Environment, vol.86, issue.4, pp.530-541, 2003.

R. Lamotte and R. Alt, Comparison of simulated annealing algorithm for image restoration, Mathematics and Computers in Simulation, vol.37, pp.1-15, 1994.

D. Li, G. Zhang, Z. Wu, and L. Yi, An edge embedded marker-based watershed algorithm for high resolution remote sensing image segmentation, IEEE Transactions on Image Processing, vol.19, issue.10, pp.2781-2787, 2010.

J. Liu and Y. Yang, Multiresolution color image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.7, pp.689-700, 1994.

X. Mei, Q. Wang, Q. Wang, and W. Lin, Research on remote sensing image segmentation based on ant colony algorithm-take the land cover classification of middle Qinling Mountains for example, International symposium on multispectral image processing and pattern recognition, 2009.

S. J. Nieman, J. Schmetz, and W. P. Menzel, A comparison of several techniques to assign heights to cloud tracers, Journal of Applied Meteorology, vol.32, pp.1559-1568, 1993.

D. K. Panjwani and G. Healey, Markov random field models for unsupervised segmentation of textured color images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.10, pp.939-954, 1995.

T. Pappas, An adaptive clustering for image segmentation, IEEE Transactions on Signal Processing, vol.40, issue.4, pp.901-914, 1992.

G. Poggi, G. Scarpa, and J. B. Zerubia, Supervised segmentation of remote sensing images based on a tree-structured Analog Integr Circ Sig Process, 2005.