NLM与比率图像的多时相SAR图像去噪方法  

A Multi-temporal SAR Image Denoising Method for NLM and Ratio Images

作　　者：卜丽静[1] 赵爽 张正鹏[1] BU Lijing;ZHAO Shuang;ZHANG Zhengpeng(School of Geomatics,Liaoning Technical University,Fuxin,Liaoning 123000,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出　　处：《遥感信息》2021年第3期17-24,共8页Remote Sensing Information

基　　金：国家自然科学基金项目(41801294)。

摘　　要：针对合成孔径雷达图像的相干斑噪声对图像质量影响大的问题,提出一种NLM与比率图像相结合的多时相SAR图像去噪的方法。首先,利用NLM滤波计算各景SAR图像之间的相似性权值,从而得到平均图像,并应用MuLoG滤波器进行去噪;然后,将噪声图像与滤波后的平均图像进行比值,得到比率图像,并对其进行滤波;最后,将滤波后的平均图像与比率图像相乘,获得降噪后的图像。利用不同序列的机载SAR数据进行实验。实验结果表明,与其他同类算法相比,所提出的方法能有效抑制SAR图像中的相干斑噪声,并提高图像质量。Aiming at the problem that the coherent speckle noise of synthetic aperture radar images has a great impact on image quality,a multi-temporal SAR image denoising method combining NLM and ratio images is proposed.The method firstly uses NLM filter to calculate the similarity weights between the SAR images of each scene,thereby obtaining the average image,and applies the MuLoG filter to perform denoising.Secondly,the noise image is divided by the filtered average image to obtain the ratio image and then filter the ratio image.Finally,the filtered average image and the ratio image are multiplied to obtain the denoised image.Experiments are carried out with different sequences of airborne SAR data.The experimental results show that compared with other similar algorithms,the method proposed in this paper can effectively suppress the coherent speckle noise in SAR images and improve the image quality.

关 键 词：多时相SAR图像 相干斑抑制 非局部均值 平均图像 比率图像 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]