For China and Brazil Earth Resource Satellite (CBERS-02) Remote-sensing (RS) image data, a novel deblurring algorithm is proposed by using the estimated atmosphere Modulation Transfer Function (MTF) through meteorologic data when imaging. In this method, both turbulence and aerosol MTFs are all estimated via meteorological parameter measured by local weather station on the time when and in the region where the RS images were recorded. The product of these two MTFs is used as the total atmospheric MTF which is incorporated with a reformative Wiener filter. Experimental result shows that MTF curve covering area of restoration image is obviously bigger than that of original image and the validity and feasibility of this method is further testified.