A Novel SAR Image Segmentation Method Based on Markov Random Field

Franceschetti G and Lanari R. Synthetic Aperture Radar Processing. New York: CRC Press, 1999: 3-10.[2]U laby F T and Kouyate F. Texture information in SAR images[J].IEEE Trans. on Geosc and Remote Sensing.1986, 24(2):235-245[3]Caves R and Quegan S. Qualitative comparision of the performance of SAR segmentation algorithms[J].IEEE Trans. on Image Processing.1998, 7(11):1534-1546[4]Lee J. Speckle analysis and smoothing of synthetic aperture radar images[J].Computer Graphics and Image Processing.1981, 17(1):24-32[5]Descombes X and Moctezuma M. Coastline detection by a Markovian segmentation on SAR images. Signal Processing, 1996, (55): 123-132.[6]Chellappa R and Jain A. Markov Random Fields: Theory and Application. New York: Academic Press, 1993: 13-25.[7]Melas D and Wilson S. Double Markov random fields and Bayesian image segmentation[J].IEEE Trans. on Signal Processing.2002, 50:357-365[8]张翠, 郦苏丹, 王正志. 基于MRF的SAR图像分割方法. 遥感技术与应用, 2001, 16(1): 66-68. Zhang Cui, Li Su-dan, and Wang Zheng-zhi. SAR image segmentation based on Markov random field model. Remote Sensing Technology and Application, 2001, 16(1): 66-68.[9]Lankoande O, Hayat M M, and Santhanam B. Speckle reduction of SAR images using a physically based Markov random field model and simulated annealing[J].Proc. of SPIE.2005, Vol. 5808:210-221