一种去除遥感图像条带噪声的小波矩匹配方法
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摘要
遥感图像条带噪声掩盖数据真实的辐射信息,降低图像的质量及应用效果。针对窗口矩匹配算法对灰度分布不均一影像的条带噪声去除不彻底问题,提出小波矩匹配条带噪声去除算法。首先,基于小波多分辨率的特性将低频小波系数和高频小波系数分离;其次,利用移动窗口矩匹配算法对影像低频成分滤波,利用阈值法去除影像高频成分中的条带噪声;最后,通过小波逆变换重构得到去条带后的影像。采用局部峰值信噪比、局部结构相似度、模糊系数和拟合优度对影像去噪效果进行定量评价。结果表明:小波矩匹配算法的各项指标均优于矩匹配、小波软阈值和窗口矩匹配算法。小波矩匹配算法改善了窗口矩匹配算法要求影像灰度分布均匀的局限性,结合空间域和频率域去噪的优势,在去除条带噪声的同时能够较好地保留影像的细节信息。
Strip noise will cover the real radiation information of remote sensing image,which not only reduces image quality,but also application effect.Aiming at the problem that window moment matching is difficult to remove strip noise thoroughly for the non-uniform image,the wavelet moment matching algorithm is proposed.Firstly,the low frequency wavelet coefficient and the high frequency wavelet coefficients are separated which based on the wavelet multiresolution characteristic.Secondly,the low frequency wavelet coefficients were filtering by window moment matching,while strip noise of high frequency wavelet coefficients was performed by threshold method.Finally,reconstruction of the wavelet coefficients obtained destriping image.The above mentioned algorithm was evaluated quantitatively by local PSNR,local SSIM,Fuzzy coefficient and goodness of fit index.Results show that the wavelet moments matching algorithm is superior to the moment matching,wavelet soft threshold and window moment matching algorithm.Wavelet moment matching improves limitation of uniform distribution of grayscale value based on window moment matching,combining the advantages of spatial and frequency domain denosing,which can remove the noise while preserving the details of the image.
Strip noise will cover the real radiation information of remote sensing image,which not only reduces image quality,but also application effect.Aiming at the problem that window moment matching is difficult to remove strip noise thoroughly for the non-uniform image,the wavelet moment matching algorithm is proposed.Firstly,the low frequency wavelet coefficient and the high frequency wavelet coefficients are separated which based on the wavelet multiresolution characteristic.Secondly,the low frequency wavelet coefficients were filtering by window moment matching,while strip noise of high frequency wavelet coefficients was performed by threshold method.Finally,reconstruction of the wavelet coefficients obtained destriping image.The above mentioned algorithm was evaluated quantitatively by local PSNR,local SSIM,Fuzzy coefficient and goodness of fit index.Results show that the wavelet moments matching algorithm is superior to the moment matching,wavelet soft threshold and window moment matching algorithm.Wavelet moment matching improves limitation of uniform distribution of grayscale value based on window moment matching,combining the advantages of spatial and frequency domain denosing,which can remove the noise while preserving the details of the image.
引文
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[16]Chen Jinsong,Shao Yun,Zhu Boqin.Destriping CMODIS based on FIR Method[J].Journal of Remote Sensing,2004,8(3):227-233.[陈劲松,邵芸,朱博勤.中分辨率遥感图像条带噪声的去除[J].遥感学报,2004,8(3):227-233.]
[17]Zhang Xia,Sun Weichao,Shuai Tong,et al.Image Destriping Method based on Wavalet Transform[J].Remote Sensing Technology and Application,2015,30(6):1168-1175.[张霞,孙伟超,帅通,等.基于小波变换的图像条带噪声去除方法[J].遥感技术与应用,2015,30(6):1168-1175.]
[18]Zhang Bing,Zhang Hao,Chen Zhengchao,et al.A New Method of Relative Radioactive Correction based on Image Statistic[J],Journal of Remote Sensing,2006,10(5):630-635.[张兵,张浩,陈正超,等.一种基于图像统计量的相对辐射纠正算法[J].遥感学报,2006,10(5):630-635.]
[19]Gong Shaoqi,Zhang Xiru,Wang Shaofeng,et al.Removal of Stripe Noise in HY-1B/COCTS Image based on Waters[J].Remote Sensing of Land and Resources,2015,27(4):41-46.[龚绍琦,张茜茹,王少峰,等.面向水体的HY-1B/COCTS图像条带噪声去除[J].国土资源遥感,2015,27(4):41-46.]
[20]Gonzalez R C,Wintz P.Digital Image Processing[M].Addison-Wesley,Boston:2010.
[21]Liu Guixi,Zhao Shuguang,Chen Wenjin.A Multi-resolution Image Fusion Scheme Using Biorthogonal Wavelet Transform[J].Opto-electronic Engineering,2004,31(4):50-53.[刘贵喜,赵曙光,陈文锦.双正交小波变换多分辨率图像融合方法[J].光电工程,2004,31(4):50-53.]
[22]Xiu Jihong,Zhai Linpei,Liu Hong.Method of Removing Striping Noise in CCD Image[J].Chinese Journal of Electron Devices,2005,28(4):719-721.[修吉宏,翟林培,刘红.CCD图像条带噪声消除方法[J].电子器件,2005,28(4):719-721.]
[23]Tong Qingxi,Xue Yongqi,Wang Jinnian,et al.Development and Application of the Field Imaging Spectrometer System[J].Journal of Remote Sensing,2010,14(3):409-422.[童庆禧,薛永祺,王晋年,等.地面成像光谱辐射测量系统及其应用[J].遥感学报,2010,14(3):409-422.]
[24]Huang Wenhui,Chen Renlei,Zhang Jiamou.Improvement and Implementation of Objective Digital Video Quality Measurement[J].Journal of Beijing University of Posts and Telecommunications,2005,28(4):87-90.[黄文辉,陈仁雷,张家谋.数字视频图像质量客观测量方法的改进与实现[J].北京邮电大学学报,2005,28(4):87-90.]
[2]Huo L J,Bin H E,Zhou D B.A Destriping Method with Multiscale Variational Model for Remote Sensing Images[J].Optics&Precision Engineering,2017,25(1):198-207.[霍丽君,何斌,周达标.遥感图像条带噪声的多尺度变分模型去除[J].光学精密工程,2017,25(1):198-207.]
[3]Liu Yamei.Hyperspectral Image Destriping based on Adaptive Unidirectional Variation[J].Laser&Optoelectronics Progress,2016,53(9):80-85.[刘亚梅.基于自适应单向变分的高光谱图像去条带方法[J].激光与光电子学进展,2016,53(9):80-85.]
[4]Liu Zhengjun,Wang Changyao,Wang Cheng.Destriping Imaging Spectrometer Data by an Improved Moment Matching Method[J].Journal of Remote Sensing,2002,7(4):279-284.[刘正军,王长耀,王成.成像光谱仪图像条带噪声去除的改进矩匹配方法[J].遥感学报,2002,7(4):279-284.]
[5]Cheng Jinsong,Shao Yun,Zhu Boqin.Destriping in CMODIS Data by A Improved Moment Matching[J].Remote Sensing Technology and Application,2003,18(5):313-316.[陈劲松,邵芸,朱博勤.一种改进的矩匹配方法在CMODIS数据条带去除中的应用[J].遥感技术与应用,2003,18(5):313-316.]
[6]Zhang Guo,Li Litao.A Study on Relative Radiometric Calibration without Calibration Field for YG-25[J].Acta Geodaetica Et Cartographica Sinica,2017,46(8):1009-1024.[张过,李立涛.遥感25号无场化相对辐射定标[J].测绘学报,2017,46(8):1009-1024.]
[7]Xiong Xiancheng,Yang Chunping,Ao Mingwu,et al.A Research on Judging and Removing Stripe Noises of MODIS Image[J].Remote Sensing Technology and Application,2015,30(3):540-546.[熊贤成,杨春平,敖明武,等.MODIS影像条带噪声行的判断及去除研究[J].遥感技术与应用,2015,30(3):540-546.]
[8]Horn B K P,Woodham R J.Destriping Landsat MSS Images by Histogram Modification[J].Computer Graphics&Image Processing,1979,10(1):69-83.
[9]Gadallah F L,Csillag F,Smith E J M.Destriping Multisensor Imagery with Moment Matching[J].International Journal of Remote Sensing,2000,21(12):2505-2511.
[10]Cui Jianshi,Bai Weiming,Liu Xiaojing,et al.Destriping Model of GF-2Image based on Moment Matching[J].Remote Sensing for Land and Resources,2017,29(Sup.1):34-38.[崔剑史,白潍铭,刘晓静.基于矩匹配算法的GF-2影像条带噪声去除[J].国土资源遥感,2017,29(增刊1):34-38.]
[11]Hu Baopeng,Zhou Zeming,Meng Yong,et al.Destriping Model of MODIS Images by Combining Moment Matching with Variational Approach[J].2016,38(3):706-713.[胡宝鹏,周则明,孟勇,等.矩匹配和变分方法相结合的MODIS条带去除模型[J].系统工程与电子技术,2016,38(3):706-713.]
[12]Zheng Fengbin,Zhi Jingjing,Gao Hailiang,et al.Improved Destriping Algorithm of Hyperspectral Images[J].Computer Science,2010,(5):265-267.[郑逢斌,支晶晶,高海亮,等.一种高光谱图像条带噪声去除改进算法[J].计算机科学,2010,(5):265-267.]
[13]Liu Q,Jing F.A Destriping Method Combining Strong Filter with Weak Filter based on Image Divided and Adapative Strip Noise Detection[J].Physics Procedia,2012,25:2103-2108.
[14]Liu Zhaohai,Yang Wenzhu,Zhang Chen.Destriping Method based on Transform Domain[J].Journal of Computer Applications,2013,33(9):2603-2605.[刘召海,杨文柱,张辰.基于变换域的条带噪声去除方法[J].计算机应用,2013,33(9):2603-2605.]
[15]Duan Yini,Zhang Lifu,Yan Lei,et al.Relative Radiometric Correction Methods for Remote Sensing Images and Their Applicability Analysis[J].Journal of Remote Sensing.[段依妮,张立福,晏磊,等.遥感影像相对辐射校正方法及适用性研究[J].遥感学报,2014,18(3):597-617.]
[16]Chen Jinsong,Shao Yun,Zhu Boqin.Destriping CMODIS based on FIR Method[J].Journal of Remote Sensing,2004,8(3):227-233.[陈劲松,邵芸,朱博勤.中分辨率遥感图像条带噪声的去除[J].遥感学报,2004,8(3):227-233.]
[17]Zhang Xia,Sun Weichao,Shuai Tong,et al.Image Destriping Method based on Wavalet Transform[J].Remote Sensing Technology and Application,2015,30(6):1168-1175.[张霞,孙伟超,帅通,等.基于小波变换的图像条带噪声去除方法[J].遥感技术与应用,2015,30(6):1168-1175.]
[18]Zhang Bing,Zhang Hao,Chen Zhengchao,et al.A New Method of Relative Radioactive Correction based on Image Statistic[J],Journal of Remote Sensing,2006,10(5):630-635.[张兵,张浩,陈正超,等.一种基于图像统计量的相对辐射纠正算法[J].遥感学报,2006,10(5):630-635.]
[19]Gong Shaoqi,Zhang Xiru,Wang Shaofeng,et al.Removal of Stripe Noise in HY-1B/COCTS Image based on Waters[J].Remote Sensing of Land and Resources,2015,27(4):41-46.[龚绍琦,张茜茹,王少峰,等.面向水体的HY-1B/COCTS图像条带噪声去除[J].国土资源遥感,2015,27(4):41-46.]
[20]Gonzalez R C,Wintz P.Digital Image Processing[M].Addison-Wesley,Boston:2010.
[21]Liu Guixi,Zhao Shuguang,Chen Wenjin.A Multi-resolution Image Fusion Scheme Using Biorthogonal Wavelet Transform[J].Opto-electronic Engineering,2004,31(4):50-53.[刘贵喜,赵曙光,陈文锦.双正交小波变换多分辨率图像融合方法[J].光电工程,2004,31(4):50-53.]
[22]Xiu Jihong,Zhai Linpei,Liu Hong.Method of Removing Striping Noise in CCD Image[J].Chinese Journal of Electron Devices,2005,28(4):719-721.[修吉宏,翟林培,刘红.CCD图像条带噪声消除方法[J].电子器件,2005,28(4):719-721.]
[23]Tong Qingxi,Xue Yongqi,Wang Jinnian,et al.Development and Application of the Field Imaging Spectrometer System[J].Journal of Remote Sensing,2010,14(3):409-422.[童庆禧,薛永祺,王晋年,等.地面成像光谱辐射测量系统及其应用[J].遥感学报,2010,14(3):409-422.]
[24]Huang Wenhui,Chen Renlei,Zhang Jiamou.Improvement and Implementation of Objective Digital Video Quality Measurement[J].Journal of Beijing University of Posts and Telecommunications,2005,28(4):87-90.[黄文辉,陈仁雷,张家谋.数字视频图像质量客观测量方法的改进与实现[J].北京邮电大学学报,2005,28(4):87-90.]