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A METHOD FOR SAR SPECKLE REDUCTION BASED ON PARTIAL DIFFERENTIAL EQUATION

机译:基于局部微分方程的SAR散斑减少方法

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摘要

Synthetic Aperture Radar (SAR) has been get broad recognition and application in many domains such as surveying and mapping. But the SAR speckles influence the interpretation of the image badly. In this paper, we discuss the second-order and the fourth-order partial differential equations(PDE), and we unite the two equations to reduce the speckles. Finally we use SAR image to do some experiment, the result shows that this equation combine the strongpoint of the second-order and the fourth-order partial differential equation, it can keep the edge of the SAR image and reduce the SAR speckle better. It avoids the block effect when we use second-order PDE to progress image and makes the image smoothing naturally.
机译:合成孔径雷达(SAR)在许多域中获得了广泛的认可和应用,例如测绘和映射。但是SAR斑点会严重影响图像的解释。在本文中,我们讨论了二阶和四阶部分微分方程(PDE),我们联合两个方程以减少斑点。最后,我们使用SAR图像进行一些实验,结果表明,该等式结合了二阶和四阶部分微分方程的ShirtPoint,它可以保持SAR图像的边缘并更好地减少SAR散斑。当我们使用二阶PDE进展图像并自然地平滑图像时,它避免了块效果。

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