摘要
针对三维块匹配(BM3D)算法在合成孔径雷达(SAR)图像相干斑抑制时存在块相似性度量不准确的问题,提出一种改进广义似然比准则(GLR)的SAR-BM3D相干斑抑制算法。该算法根据在光学图像去噪效果良好的BM3D算法,以变换域方法和非局部思想为基础,考虑SAR图像相干斑特性,采用概率相似性度量方法用于块匹配步骤,从而达到较好的相干斑抑制效果。实验证明,提出的算法对SAR图像的相干斑抑制可以获得更高的信噪比和更好的视觉效果。
Aimed at the inaccurate problem of block similarity metric for synthetic aperture radar （SAR） image despeck- ling using Block-matching and 3D filtering （BM3D） algorithm, a new SAR-BM3D despeckling algorithm is proposed based on generalized likelihood ratio criterion （GLR）. According to the good results of BM3D algorithm in optical image denoising, based on the transform domain method and nonlocal mind, considering SAR image speckle character, proba- bility similarity measure method is used to block matching thus to achieve better results. The experiment results show that the new algorithm has advantages in the SAR image despeckling performance with higher PSNR and better visual results.
作者
鲁自立
贾鑫
曾创展
Lu Zili;Jia Xin;Zeng Chuangzhan(Department of Graduate Management, Academy of Equipment of PLA, Beijing 101416, China;Department of Optical and Electronic Equipment, Acodemy of Equipment of PLA, Beijing 101416, Chin)
出处
《国外电子测量技术》
2017年第11期21-25,共5页
Foreign Electronic Measurement Technology
