基于多指数模型的SAR海冰影像偏场校正

Wang Gengzhong
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引用次数: 0

摘要

提出了一种基于多指数模型的SAR海冰像入射角偏置场校正算法。算法首先计算SAR方位方向上的图像均值;然后用多指数模型对一维修正场进行建模。然后,采用熵最小法计算一维校正场。然后用由一维校正场导出的二维校正场对原始图像进行校正。实验结果表明,该算法能有效地校正SAR海冰图像的入射角偏置场。此外,与Karvonen方法相比,该算法在不考虑像素入射角信息的情况下具有更好的校正效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-exponential model based bias field correction of SAR sea ice image
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.
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