Remote sensing image with the characte ristics of overall dim brightness,low-contrast and no obvious distinction betwe en th e target and background,makes the remote sensing image enhancement technology pl ay an active role for improving the contrast of the image and highlighting some loc al details.At present, the image multi-scale system has gained successful applications in image proces sing,wavelet transform, Curverlet transform,Contourlet transform and some improved algorithms based on t hem.One of the most common shortcomings of the frameworks of the system Curverlet and Co ntourlet is lacking of providing a unified treatment between the continuity and the digital world.S hearlet system is the only one which satisfies this property,yet still optimally delivers sparse approxi mations of images.Based on Shearlet transform,we propose a new algorithm for remote sensing image enha ncement.First,the remote sensing images are transformed into the low frequency coefficients and high freq uent coefficients by Shearlet transform;second,we use fuzzy contrast enhancement on the low frequency coefficients of Shearlet transform;third, we use fuzzy enhancement on the high frequency coefficients of each scale and di rection.Experimental results show that in the subjective side,we obtain a good visual effect,and objectivel y,the image entropy and mean have a significant promotion.