基于双边滤波的船舶图像混合域去噪方法  

A hybrid domain denoising method for theship images based on bilateral filtering

作　　者：任松涛[1] REN Song-tao(Maritime College,Zhejiang Institute of Communications,Hangzhou 311112,China)

机构地区：[1]浙江交通职业技术学院海运学院,浙江杭州311112

出　　处：《舰船科学技术》2023年第14期148-151,共4页Ship Science and Technology

摘　　要：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.

关 键 词：双边滤波 SAR图像 降噪 建模 

分 类 号：U665.2[交通运输工程—船舶及航道工程]