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。

The paper proposes a novel algorithm of SAR sea ice image incidence angle bias field correction using multi-exponential model. In the algorithm, the image mean values along SAR azimuth direction are firstly calculated. Then an one-dimensional correction field is modeled by a multi-exponential model. Whereafter, the one-dimensional correction field is calculated by applying entropy minimization method. After that the original image is corrected by the two-dimensional correction field derived from the one-dimensional correction field. The experiment result indicates that the proposed algorithm is effective in correcting SAR sea ice image’s incidence angle bias field. Besides, the proposed algorithm has better correction result than Karvonen’s method without the incidence angle information of the pixels.