Synthetic aperture radar (SAR) images can be utilised in various fields because they are not affected by the time of day or weather conditions. However, in the process of employing active sensors to obtain a SAR image, speckle noise is generated in the image. Speckle noise degrades the ability of computer vision to observe the Earth. To improve imaging performance, an algorithm for removing speckle noise is necessary. For this purpose, the authors propose a speckle-noise removal algorithm. A speckle reducing anisotropic diffusion filter is employed as a pre-processing filter, in which multiplicative speckle noise can be converted into additive noise using a logarithmic transformation. To remove the additive noise, they use a weighted guided image filter. Experimental results indicate that the proposed method exhibits improved speckle noise suppression and edge preservation results compared with those of existing methods.

中文翻译：

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用于减少有源传感器生成的图像中散斑噪声的去斑算法

合成孔径雷达 (SAR) 图像可用于各个领域，因为它们不受时间或天气条件的影响。然而，在采用有源传感器获取SAR图像的过程中，图像中会产生散斑噪声。散斑噪声会降低计算机视觉观察地球的能力。为了提高成像性能，需要一种去除斑点噪声的算法。为此，作者提出了一种斑点噪声去除算法。采用散斑减少各向异性扩散滤波器作为预处理滤波器，其中乘法散斑噪声可以使用对数变换转换为加性噪声。为了去除附加噪声，他们使用加权引导图像滤波器。