{"title":"基于盲估计和双边滤波的SAR图像稀疏降噪","authors":"孙雨 Sun Yu, 辛志慧 Xin Zhihui, 黄鹏辉 Huang Penghui, 王志旭 Wang Zhixu, 宣嘉裕 Xuan Jiayu","doi":"10.3788/lop222462","DOIUrl":"https://doi.org/10.3788/lop222462","url":null,"abstract":"合成孔径雷达(SAR)在成像过程中由于固有成像机制的缺陷导致图像被乘性噪声污染,图像噪声对后续目标检测识别等处理过程造成了阻碍。现有的去噪算法存在不能自适应估计噪声大小和对边缘保持效果不理想的问题,如何自适应处理不同噪声水平的图像是一个研究难点。提出一种基于盲估计和双边滤波的SAR图像稀疏去噪算法。首先利用双边滤波得到具有良好边缘保持特性的预处理图像;接着利用盲估计获取图像全域噪声水平,将其充当稀疏重建过程中的残差阈值;最后利用稀疏编码和字典学习算法,用尽可能少的原子信息来表示图像,达到图像去噪的目的。实验结果表明,结合了盲估计的稀疏重建算法不仅有效去除了图像噪声,使等效视数获得了显著提升,而且峰值信噪比和边缘保持指数也有良好的表现,有效保留了原图的细节纹理信息。","PeriodicalId":51502,"journal":{"name":"激光与光电子学进展","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135105341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0