上海航天2018，Vol.35Issue(3)：23-27,5.DOI:10.19328/j.cnki.1006-1630.2018.03.004
考虑小波数相关性的SAR图像去斑算法
Study on Despeckling Algorithm for SAR Images by Considering Correlation of Wavelet Coefficients
陈国忠 1王廿菊 2崔雷 1陈重华 1孙杰 1朱少杰1
作者信息
- 1. 上海卫星工程研究所,上海 201109
- 2. 上海航天技术研究院,上海 201109
- 折叠
摘要
Abstract
Because SAR(synthetic aperture radar)images are corrupted by speckle noise, which degrades the quality and interpretation, SAR images should be despeckled. The wavelet coefficients of an image exit the high correlation not only for their amplitude but also for their sign. Therefore, in this paper, a new wavelet-based despeckling algorithm is proposed by considering the sign and amplitude correlation of the wavelet coefficients. In the end, both simulated speckle images and real SAR images are used to validate the performance of this new algorithm and the final experimental results show that the speckle is reduced and the detail of the image is preserved, which improves subsequent application efficiency of SAR images.关键词
合成孔径雷达图像/相关性/斑点噪声/小波/抑制Key words
synthetic aperture radar(SAR)image/correlation/speckle noise/wavelet/despeckle分类
信息技术与安全科学引用本文复制引用
陈国忠,王廿菊,崔雷,陈重华,孙杰,朱少杰..考虑小波数相关性的SAR图像去斑算法[J].上海航天,2018,35(3):23-27,5.
