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Suppressing the coherent speckle of SAR images with wavelet analysis

机译:用小波分析抑制SAR图像的相干斑点

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This paper studies Synthetic Aperture Radar (SAR) images contaminated by the coherent speckle noise with the multiresolution analysis of wavelet transform. This study shows that the influences of the speckle on different frequency components of the SAR image are different, and that the SAR image and the speckle have different manners of singularity. So, this paper presents a denoising method of wavelet analysis to reduce the speckle. Some experiments approve that this method not only suppresses the speckle effectively, but also preserves as much target characteristics of the original image as possible. It shows that this denoising method of wavelet analysis offers a very attractive alternative to suppress the coherent speckle noise of the SAR image.
机译:通过小波变换的多分辨率分析,研究了相干散斑噪声污染的合成孔径雷达(SAR)图像。研究表明,散斑对SAR图像不同频率分量的影响是不同的,并且SAR图像和散斑具有不同的奇异方式。因此,本文提出了一种小波分析去噪方法以减少斑点。一些实验证明,该方法不仅可以有效地抑制斑点,而且可以保留尽可能多的原始图像目标特征。它表明,该小波分析去噪方法为抑制SAR图像的相干斑点噪声提供了一种非常有吸引力的替代方法。

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