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

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.