一种机载SAR非周期性线状噪声去除方法  

A Non-periodic Stripes Noises Removal Method for Airborne SAR Data

作　　者：肖艳芳[1] 崔廷伟 巩加龙 

机构地区：[1]国家海洋局第一海洋研究所,山东青岛266061 [2]中国海洋大学信息科学与工程学院,山东青岛266100

出　　处：《海洋科学进展》2016年第4期571-577,共7页Advances in Marine Science

基　　金：国家自然科学基金项目--基于围隔实验的漂浮绿潮生物量遥感估算方法(41506203)和主被动光学遥感探测水下悬浮绿潮(41476159);中韩国际合作项目--典型海洋灾害静止轨道海洋卫星凝视监测关键技术研究(2014T03);海洋公益性行业科研专项--机载多维探测系统在海监执法中的应用示范(2013418025-2)

摘　　要：由于受雷达系统本身、飞行姿态、大气扰动等多种因素的影响,机载SAR图像中存在大量的非周期性线状噪声,限制了数据的后续应用。针对利用机载SAR图像进行海上绿潮探测的应用目的,本文在对机载SAR图像中非周期性线状噪声进行统计特征分析的基础上,提出了一种机载SAR图像非周期性线性噪声去除方法,并与均值滤波、高斯低通滤波、增强Lee滤波、增强Frost滤波、Gamma滤波、小波分析滤波、傅里叶变化滤波等多种常用滤波算法进行了对比,验证了该方法的有效性。结果表明,与常用滤波算法相比,我们算法的噪声去除率最高,且边缘特征清晰;图像经滤波后,噪声区灰度值与海水相近,与绿潮的对比显著增大,提高了绿潮和海水的区分能力。Due to the effect of various factors such as the radar system,flight altitude and atmospheric disturbance,a large number of non-periodic linear noises exist in the airborne SAR images,which greatly hinders the data application.In this paper,a non-periodic linear noises removal method for airborne SAR image is proposed by analyzing the statistical characteristics of non-periodic linear noises with the aim of green tide detection.The validity of the method is demonstrated by comparison with the commonly used filtering algorithms.The results show that the proposed algorithm has the highest noise removal rate and the edge features are clear.After the noises removal,the value of the noise is close to that of the sea water and the difference between the noises and the water increases significantly.

关 键 词：机载SAR 非周期性线状噪声 绿潮 噪声去除 

分 类 号：TN958[电子电信—信号与信息处理]