In this paper

a new method based on multiscale autoregressive moving average (MARMA) models is presented to compress SAR(Synthetic Aperture Radar)image.The method uses the multiscale representation as the cornerstone of the modeling process

and constructs the MARMA models of image.Thus we predict the initialized image data using these multiscale models

and the compression is subsequently achieved through coding the residual image.Unlike published methods

supervising segmentation for SAR image is not used in our compression processes.So the prior knowledge of segmentation is not required.Experimental results have proven that the proposed method achieves high compression radios with impressive image quality.