极化SAR图像滤波方法对比分析

Comparative Study on Speckle Filters for Polarimetric Synthetic Aperture Radar Imagery

随着遥感技术的快速发展,极化合成孔径雷达(Polarimetric Synthetic Aperture Radar,PolSAR)已成为遥感领域重要的全天时、全天候对地观测方式。但是,基于相干成像原理的PolSAR图像会受到相干斑的影响,导致精确度下降。为了提升图像质量,减少相干斑滤波影响,文章对比分析了常用的典型极化SAR图像去噪方法,介绍了各类方法的特点,以期为雷达遥感图像的应用提供参考。

In recent years,the rapid development of remote sensing satellites has greatly facilitated the research on remote sensing image object detection.Polarimetric Synthetic Aperture Radar(PolSAR)images are widely used in many environment monitor applications because they offer some advantages over optical remote sensing images,such as its acquisition capability being independent of sun light or the weather.In PolSAR imagery,the interference of waves reflected during the acquisition process gives rise to a multiplicative and non-Gaussian noise known as speckle.In the literature,the classical filters are analyzed to provide a reference for the application.