Abstract: Based on the statistical property of SAR image speckle noise and curvelet property of capturing the intrinsic geometrical structure of image,a method of SAR image denoising based curvelet domain adaptive BivaShrink meodel is presented combining curvelet transform with BivaShrink denoising model.By combining current layer curvelet coefficients and previous layer curvelet coefficients to calculate variance homogeneous measurement(VHM),the local adaptive window is determined to estimate the shrinkage factor optimally,then the curvelet coefficients are shrunk using the shrinkage factor.The scheme utilizing the correlation of curvelet coefficients in the same subband and previous subband,and it can reduces SAR speckle noise effectively and preserving details of SAR image as well.Experiment results show that the presented method achieves better performance not only at speckle reduction but also at the preservation of structural detail information than other commonly used speckle filters.