【摘要】 SAR图像在成像过程中分辨率会受到杂波的影响下降,不利于后续算法的进行,而正则化算法通过先验知识能够实现图像的重建。本文研究合成孔径雷达观测模型,并将正则化算法应用于SAR图像增强。最后进行实验对比。本文所采用的算法在迭代最优解求解的过程中比Cetin算法用时少,并且图像增强后的平均3db主瓣宽度比增强前小,由此说明本文算法的有效性。更多还原

【Abstract】 The resolution of SAR image would be decreased iduring imaging,which was influenced by clutter. So it was not conducive to use the algorithm later. But the regularization algorithm could achieve the reconstructed image by a priori knowledge. Therefore,study on the synthetic aperture radar model and regularization algorithm was applied to SAR image enhancement. Algorithm used in the iterative process for solving the optimal solution algorithm took less time than Cetin,and the average 3db beamwidth of enhanced image was smaller,which showed the effectiveness of the algorithm.更多还原