船舶SAR图像由于高斯噪声、相干斑噪声以及SAR雷达的阴影特性等原因，SAR图像中存在着大量噪声，这些噪声信号会干扰基于SAR图像的海上船舶目标识别与监测。针对这一问题，本文提出一种基于双边滤波算法的船舶SAR图像混合区域去噪算法，阐述双边滤波算法的原理，进行SAR图像噪声的来源建模，在实际船舶SAR图像的处理过程中取得了良好的降噪效果。
Due to Gaussian noise, speckle noise and shadow characteristics of SAR radar, there is a large amount of noise in the SAR image, which will interfere with the recognition and monitoring of maritime ship targets based on SAR images. To solve this problem, this paper proposes a denoising algorithm for ship SAR image mixed area based on bilateral filtering algorithm, describes the principle of the bilateral filtering algorithm, and conducts the modeling of the source of SAR image noise. In the process of actual ship SAR image processing, good denoising effect is achieved.
2023,45(14): 148-151 收稿日期：2023-4-6
DOI：10.3404/j.issn.1672-7649.2023.14.028
分类号：U665.2
作者简介：任松涛(1973-),男,讲师,研究方向为航海技术和航海模拟器。
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