提出了一种使用多指数模型的SAR海冰图像入射角偏差场校正的新算法,该算法先对SAR图像进行方位向取平均,然后用多指数模型对一维校正场建模,应用熵值最小化方法求取最优的一维校正场,再用推出的二维校正场对原始图像进行校正。实验结果表明,该算法对于SAR海冰图像的入射角偏差场校正是有效的。与Karvonen的算法相比,该算法有更好的校正效果,且不需要提供像素的入射角信息。 A new algorithm of multi-exponential model to correct the incident angle deviation of SAR sea ice image is proposed. The algorithm first averages the SAR images in the azimuth direction and then models the one-dimensional calibration field by using the multi-exponential model. The entropy value Minimize method to get the optimal one-dimensional correction field, and then use the two-dimensional calibration field to correct the original image. Experimental results show that this algorithm is effective to correct the incident angle deviation of SAR sea ice image. Compared with Karvonen’s algorithm, this algorithm has a better correction effect, and does not need to provide the pixel’s angle of incidence information.