［2］Cook R, Mcconnell I. Mum segmentation for SAR images[A].In:SPIE Proc. [C]. Rome, 1994,2316:92～103.
[2]
［5］Derin H, Elliot H. Modeling and segmenttion of noisy and textured images using Gibbs rabdom field[J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1987,9(1):39～55.
[3]
［9］Besag J. On the statistical analysis of dirty pictures[J]. Journal of Royal Statistical Society. B, 1986,48:259～302.
[4]
［10］Park J, Kurz L. Image enhancement using the modified ICM method [J]. IEEE Trans. on Image Processing, 1996, 5(5):765～771.
[5]
［1］White R G. Change detection in SAR imagery[J]. Int. J. Remote sensing, 1991,12: 339～ 360.
[6]
［3］Geman S, Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1984, 6 (6):721～741.
[7]
［4］Gerhard Winkler. Image analysis, Random fields and Dynamuic Monte Carlo methods[D]. Berlin :Springer-Verlag, 1999.
[8]
［6］Weisenseel Robert A, Karl W Clem MRF-based algorithm for segmentation of SAR images[A]. In:Proceeding of Int. Conf. on Image Processing [C], Chicago, 1998,3: 770～ 774.
[9]
［7］Ulaby F T, Kouyate F. Texture information in SAR images[J].IEEE Trans. on Geosc. Remote Sensing, 1986, 24(2): 235～245.
[10]
［8］Lakshmanan S, Derin H. Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing [J].IEEE Trans. on Pattern Analysis and Machine Intelligence, 1989,11(8) :799～813.
