SAR IMAGE DESPECKLING BASED ON CONTOURLET DOMAIN HIDDEN MARKOV TREES MODEL

SHA Yu-Heng; CONG Lin; SUN Qiang; JIAO Li-Cheng

[1] Hua X, Pierce L E, UlabyFT, Statisticalproperties of logarithmically transformed speckle[J].IEEE Transaction on Geoscience andRemote Sensing,2002,40(3): 721—727.

[2] Min D, Cheng P, Chan A K, et a.l Bayesian wavelet shrinkage with edge detection for SAR image despeckling [J].IEEE Transaction on Geoscience and Remote Sensing, 2004,42(8): 1642—1648.

[3] FoucherS, BenieG B, Boucher JM. MultiscaleMAP filtering ofSAR images[J].IEEE Transaction on Image Processing,2001,10(1): 49—60.

[4] ArgentiF, Alparone L. Speckle removal from SAR images in the undecimated wavelet domain[J].IEEE Transaction on Geoscience and Remote Sensing,2002,40(11): 2363—2374.

[6] Achim A, Tsakalides P, Bezerianos A. SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling[J].IEEE Transaction on Geoscience and Remote Sensing,2003,41(8): 1773—1784.

[9] Do M N, VetterliM. Contourlets: a new directional multiresolution image representation[C]. Signals, Systems and Computers, Conference Record of the Thirty-Sixth Asilomar Conference, 2002,1, 3—6.

[10] Po D D-Y, DoM N. Directionalmultiscale modeling of image using the contourlet transform[J].IEEE Transactions on Image Processing,2006,15(6): 1610—1620.