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为了提高极化合成孔径雷达(SAR)图像的舰船检测性能,提出了一种基于改进广义相对最优极化模型的极化SAR图像融合方法。改进的模型包含两个因子的乘积。第一个因子是最优极化状态下的雷达接收功率;第二个因子对应最优检测准则下的3个极化参数(极化熵、平面相似性参数、二面角相似性参数)的融合结果。使用该方法融合图像能够使得目标和杂波的对比度最大,而杂波的方差最小,从而提高了目标检测的性能。实验表明,该方法能够得到更好的接收机性能(ROC)曲线。
In order to improve the performance of Polarimetric SAR imaging, this paper proposes a polarization SAR image fusion method based on improved generalized relative optimal polarization model. The improved model contains the product of two factors. The first factor is the radar receive power in the optimal polarization state. The second factor corresponds to the three polarization parameters (polarization entropy, plane similarity parameter, dihedral similarity parameter) under the optimal detection criterion Fusion results. Using this method to fuse the images can maximize the contrast between the target and the clutter and minimize the variance of the clutter, thereby improving the performance of the target detection. Experiments show that this method can get a better receiver performance (ROC) curve.