基于CxImage库的SAR图像Speckle噪声抑制

合成孔径雷达图像的相干斑噪声抑制是SAR信息处理中的一个重要环节。经典的Speckle噪声抑制通常作为一个处理模块集成在软件中,但现有软件代码封装无法二次开发。针对文中提出了一种基于开源图像库CxImage的空间域自适应Speckle噪声抑制算法的应用与集成。将CxImage图像库链接入MFC应用程序框架中,利用其图像管理、维护、处理功能对SAR图像进行维护管理,集成多种经典的空间域自适应滤波方法,并以ERS-2卫星的PRI SAR数据为例,进行Speckle噪声滤波处理,选取适当的滤波效果评价参数,对滤波结果进行比较,最终得出各滤波算法应用于SAR图像滤波的优劣。

Speckle Noise Suppression of SAR Images Based on CxImage Libraries

The Speckle noise suppression for Synthetic Aperture Radar (SAR) images is an important part in the SAR image information processing.The traditional Speckle denoise algorithm is integrated in a processing module.But the codes of the software are encapsulated so that it affects the secondary development.In this paper,an integrational application method for spatial self-adapting filtering based on CxImage open source image library is proposed.CxImage image library is linked into the MFC application framework,and then its powerful image management,maintenance,processing functions are used to maintain and manage the SAR images.the classic space-domain self-adapting filtering methods are further integrated to do the speckle noise filtering of ERS-2 PRI SAR images.the appropriate evaluation parameters of filtering effect are selected,and the filtering results are compared,and finally the pros and cons of each filtering algorithm applied to SAR image filtering are concluded.