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In addition to the inherent speckle noise,the Synthetic Aperture Radar(SAR)images exhibit low contrast and low signal-to-noise ratio(SNR),in some cases such as ocean monitoring with fierce wind.It is difficult for target detection and interpretation of the SAR images.Thus,the target feature enhancement and speckle reduction is regarded as critical in processing for SAR image application.Given this problem,a novel method for target feature enhancement based on Discrete Shearlet Transform(DST)and multi-scale analysis is proposed in this paper.