顾及水陆差异的高分五号影像条带去除  

Strip noise removal in GF-5 images considering the difference in land and water

作　　者：皮原征 储栋 管小彬 沈焕锋[1,2] PI Yuanzheng;CHU Dong;GUAN Xiaobin;SHEN Huanfeng(School of Resources and Environmental Science,Wuhan University,Wuhan 430079,China;Collaborative Geospatial IT Innovation Center School of Surveying and Mapping,Wuhan 430079,China)

机构地区：[1]武汉大学资源与环境科学学院,武汉430079 [2]地球空间信息技术协同创新中心,武汉430079

出　　处：《遥感学报》2020年第4期360-367,共8页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:61671334)。

摘　　要：高分五号搭载的可见光短波红外高光谱相机,能获取精细的地物光谱信息,具有十分广泛的应用前景。但高光谱卫星遥感数据往往无法避免条带噪声的干扰,进行条带去除是数据预处理中不可缺少的步骤。传统方法往往对地物的异质性与丰富的细节纹理考虑不足,导致条带不能被彻底地消除。为此,本文提出了一种顾及水陆差异的影像条带去除方法,采用水体与陆地区别统计的策略,解决条带噪声在异质区域的统计特征差异问题,并结合优化统计和一维变分滤波技术实现水陆区域参考统计特征的精确估计,最终基于矩匹配方法分别实现条带去除。实验结果表明:无论是真实实验还是模拟实验,本文提出的算法相较于传统条带去除算法,能更加稳健地去除数据条带噪声,还原地表真实辐射信息;在模拟实验中,本文算法处理结果的峰值信噪比(PSNR)达到46.58,且平均绝对误差(MAE)仅有11.56,均明显优于用于比较的3种传统算法,且算法执行效率也具备优势,能够更好地适用于高分五号大数据量的处理需求。GF-5 satellite is an important scientific research satellite in China’s high-resolution projects.It is also the first full-spectrum hyperspectral satellite in the world to simultaneously observe the atmosphere and land.GF-5 satellite can meet the urgent needs of China’s environmental monitoring,resource exploration,disaster prevention and mitigation,and other industries.However,similar to many hyperspectral satellite data,random band noises are found in some of its imaging data,thereby reducing the quality of data to a certain extent.The large data width,high spatial resolution,rich detail texture,and heterogeneity of the terrain also establish high requirements for strip removal.In this study,a method of image strip removal considering land–water differences is proposed to robustly remove strip noise in data,restore the real radiation information of the surface,and improve the application value of the GF-5 hyperspectral data.In the proposed algorithm,we use a computationally efficient moment matching algorithm as the basic framework,with the idea of separate treatment between water and land,and combined it with an optimized statistical strategy to obtain many reliable statistical results,and then use 1D variational filtering to obtain a reliable statistical reference value.The moment matching algorithm is used to correct the water and land areas for effectively removing the complex strip noise in the image.Experiments on the L1 data of the GF-5 hyperspectral data without strip preprocessing show that the proposed method can be robustly removed compared with the traditional moment matching,histogram matching,and wavelet Fourier joint filtering methods.Stripe noise in the data,especially in complex scenes,has improved removal.Therefore,the proposed method can effectively solve the high-resolution GF-5 hyperspectral data radiation degradation caused by strip noise,improve the data quality,and utilize its advantages in resource,environment,and ecological applications.This study proposes a global moment matchin

关 键 词：条带噪声 一维滤波 变分 矩匹配 高分五号 影像复原 高光谱遥感 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]