计算机与数字工程2019，Vol.47Issue(8)：2018-2021,4.DOI:10.3969/j.issn.1672-9722.2019.08.037
一种改进的Lee滤波SAR图像去噪算法
An Improved Lee Filter SAR Image Denoising Algorithm
摘要
Abstract
Since there is a large amount of speckle noise in the SAR image,it is difficult for later SAR images to be interpret?ed and retrieved. Aiming at this problem,an improved Lee filter algorithm is proposed,which not only effectively removes the speckle noise from the image,but also do well in keeping the edge information. Based on the original Lee filter algorithm,the histo?gram equalization is introduced to process and transform the original gray histogram into evenly distributed gray histogram,using im?age local statistical properties to perform Image speckle filtering,therefore the image is denoised. The results show that in terms of image denoising,the algorithm proposed in this paper is significantly better than that of the similar algorithm,and the edge informa?tion is well maintained.关键词
Lee滤波/SAR/图像去噪/直方图均衡Key words
Lee filter/SAR/image denoising/histogram equalization分类
信息技术与安全科学引用本文复制引用
付睢宁,路泽忠,王舜瑶..一种改进的Lee滤波SAR图像去噪算法[J].计算机与数字工程,2019,47(8):2018-2021,4.基金项目
2016年国家重点研发计划(编号:2016YFC0803103) （编号:2016YFC0803103）
河南省高校创新团队支持计划(编号:14IRTSTHN026) （编号:14IRTSTHN026）
河南省创新型科技创新团队支持计划资助. （）
