一种改进三维块匹配的SAR图像去噪方法An improved BM3D algorithm for SAR image denoising
刘雪晴,卢小平,马靓婷
摘要(Abstract)：
针对BM3D算法对合成孔径雷达图像的乘性相干斑噪声抑制导致图像细节信息丢失的问题,提出一种改进相似性度量的BM3D算法。在对相干斑噪声模型分析基础上,采用对数变换使BM3D算法适用于SAR图像去噪,并从相似图像块划分的权重计算方法入手,引入皮尔逊相关系数改进相似性度量准则,从而提升相似图像块匹配准确度。实验选取永城部分地区Sentinel-1A影像数据,并对该算法和其他几种滤波算法进行了对比分析,结果表明本文算法能有效去除斑点噪声,同时保留图像边缘细节信息。
关键词(KeyWords)： 合成孔径雷达;相干斑噪声;BM3D;相似性度量
基金项目(Foundation): 2016国家重点研发计划项目(2016YFC0803103)
作者(Author): 刘雪晴,卢小平,马靓婷
DOI: 10.16251/j.cnki.1009-2307.2021.07.016
参考文献(References)：
- [1]王彩云，胡允侃，吴淑侠．基于贝叶斯模型的shearlet域SAR图像去噪方法[J]．系统工程与电子技术，2017,39(6):1250-1255.(WANG Caiyun,HU Yunkan,WUShuxia.Shearlet domain SAR image denoising method based on Bayesian model[J].Systems Engineering and Electronics,2017,39(6):1250-1255．）
- [2]徐新，廖明生，卜方玲．一种基于相对标准差的SAR图像Speckle滤波方法[J]．遥感学报，2000,4(3):214-218.(XU Xin,LIAO Mingsheng,BU Fangling.An adaptive method for speckle filtering of SAR image based on local relative standard deviation[J].Journal of Remote Sensing,2000,4(3):214-218．）
- [3]鲁自立，贾鑫，曾创展．改进相似性度量准则的SAR-BM3D相干斑抑制算法[J]．国外电子测量技术，2017,36(11):21-25.(LU Zili,JIA Xin,ZENG Chuangzhan.Improved similarity measure criterion of SAR-BM3Ddespeckling algorithm[J].Foreign Electronic Measurement Technology,2017,36(11):21-25．）
- [4]李艺珠，沈汀．非下采样小波域的四阶偏微分SAR图像去噪[J]．遥感信息，2016,31(6):95-99.(LI Yizhu,SHEN Ting.SAR image denoising using fourth-order PDE based on NSWT[J].Remote Sensing Information,2016,31(6):95-99．）
- [5]陈世媛，李小将．基于自适应非局部均值的SAR图像相干斑抑制[J]．系统工程与电子技术，2017,39(12):2683-2690.(CHEN Shiyuan,LI Xiaojiang.SAR image despeckling based on adaptive non-local means[J].Systems Engineering and Electronics,2017,39(12):2683-2690．）
- [6]BUADES A,COLL B,MOREL J M.A non-local algorithm for image denoising[C]∥2005IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR’05).San Diego,CA,USA:IEEE,2005:60-65．
- [7]DABOV K,FOI A,KATKOVNIK V,et al.Image denoising by sparse 3-D transform-domain collaborative filtering[J].IEEE Transactions on Image Processing,2007,16(8):2080-2095．
- [8]赵洪臣，周兴华，彭聪，等．一种去除遥感影像混合噪声的集成BM3D方法[J]．武汉大学学报（信息科学版），2019,44(6):925-932.(ZHAO Hongchen,ZHOUXinghua,PENG Cong,et al.An integrated BM3Dmethod for removing mixed noise in remote sensing image[J].Geomatics and Information Science of Wuhan University,2019,44(6):925-932．）
- [9]COZZOLINO D,PARRILLI S,SCARPA G,et al.Fast adaptive nonlocal SAR despeckling[J].IEEE Geoscience and Remote Sensing Letters,2014,11(2):524-528．
- [10]MURALIMOHANBABU Y,V S M,N G M.A modified BM3D algorithm for SAR image despeckling[J].Procedia Computer Science,2015,70:69-75．
- [11]CHIERCHIA G,EL GHECHE M,SCARPA G,et al.Multitemporal SAR image despeckling based on blockmatching and collaborative filtering[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(10):5467-5480．
- [12]石健，汪洋，黄海风，等．BM3D算法在海洋SAR图像去噪中的应用[J]．雷达科学与技术，2016,14(1):24-32.(SHI Jian,WANG Yang,HUANG Haifeng,et al.Application of BM3D algorithm in ocean SARimage denoising[J].Radar Science and Technology,2016,14(1):24-32．）
- [13]张璇，郝明磊，行鸿彦，等．基于三维匹配块的SAR图像相干斑抑制研究[J]．电子测量与仪器学报，2017,31(10):1621-1626.(ZHANG Xuan,HAO Minglei,XING Hongyan,et al.Research on de-speckling of SAR image based on 3Dmatching block[J].Journal of Electronic Measurement and Instrumentation,2017,31(10):1621-1626．）
- [14]高贵，张军，吕信明，等．SAR图像乘性噪声模型分析[J]．信号处理，2008,24(2):161-167.(GAO Gui,ZHANGJun,LYU Xinming,et al.Analysis of multiplicative noise models in SAR imagery[J].Signal Processing,2008,24(2):161-167．）
- [15]ARSENAULT H H,APRIL G.Properties of speckle integrated with a finite aperture and logarithmically transformed[J].JOSA,1976,66(11):1160-1163．
- [16]PARRILLI S,PODERICO M,ANGELINO C V,et al.A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(2):606-616.