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首页> 外文期刊>Journal of information and computational science >Progressive SAR Image Denoising Based on Cycle Spinning
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Progressive SAR Image Denoising Based on Cycle Spinning

机译：基于循环自旋的逐行SAR图像降噪

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摘要

SAR image denoising has been an active research topic. Some SAR image denoising methods are becoming more complex and difficult to analyze and implement. Recently, a method as a simple physical process called Progressive Image Denoising (PID) was proposed, which progressively reduced noise based on Deterministic Annealing (DA) and robust noise estimation. However, it suffers from visible artifacts. To solve this problem, we proposed an SAR image denoising algorithm, which combined PID with cycle-spinning algorithm. The result of our implementation is excellent. It possesses the character of translation invariance. Compared with progressive image denoising, the denoised SAR images of the proposed algorithm are smoother and have fewer man-made textures; the visual effects of the denoised SAR image have been improved significantly.
机译：SAR图像去噪一直是一个活跃的研究主题。一些SAR图像去噪方法变得越来越复杂，难以分析和实现。最近，有人提出了一种称为“渐进式图像降噪”（PID）的简单物理过程的方法，该方法基于确定性退火（DA）和鲁棒的噪声估计来逐渐降低噪声。但是，它有明显的伪影。为了解决这个问题，我们提出了一种SAR图像去噪算法，该算法将PID与循环旋转算法相结合。我们实施的结果非常好。它具有翻译不变性的特征。与渐进图像去噪相比，该算法去噪后的SAR图像更加平滑，人造纹理更少。去噪SAR图像的视觉效果得到了明显改善。

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