本文针对受到大气模糊的中巴地球资源卫星二号星(CBERS-02)的遥感影像数据，提出一种利用卫星成像时刻气象参数估计大气MTF(MTF: Modulation Transform Function)的影像恢复算法。该方法利用遥感影像成像时刻的当地气象数据，首先对大气湍流MTF 和气溶胶MTF 进行估计，然后通过这两种MTF 的简单乘积得到整个大气效应的调制传输函数，进而利用一种改进的迭代维纳滤波算法实现影像恢复。结果显示，恢复后影像的MTF 曲线所覆盖的面积明显大于原始影像，进一步验证了本文算法的有效性和可行性。

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.