SAR图像斑点噪声的小波软门限滤除算法

本文介绍利用小波分析和软门限对合成孔径雷达（ＳＡＲ）图像斑点噪声（Ｓｐｅｃｋｌｅ）进行抑制与滤除的算法。首先选择合适的小波基对合成孔径雷达（ＳＡＲ）图像进行小波分解，应用Ｄａｖｉｄ Ｌ．Ｄｏｎｏｈｏ软门限理论，并且将其推广到２维信号。针对ＳＡＲ图像斑点噪声的特殊性，即在小波变换域内图像和斑点噪声的奇异性不同，选取合适的门限在小波域内滤波。最后进行小波反变换得到去噪后的ＳＡＲ图像。实验证明，该算法能

A SPECKLE REDUCTION ALGORITHM BY SOFT-THRESHOLDING BASED ON WAVELET FILTERS FOR SAR IMAGES

This paper presents a speckle reduction algorithm by Soft thresholding for SAR images in multiscale and multiorientation by using nolinear wavelet analysis. Firstly, a base is chosen according to SAR image features, which is used to make SAR images 2D wavelet transformation. Furthermore, we apply the David L. Donoho's soft thresholdning theory and extend to 2D SAR image processing, then select suitable soft threshold is aimed at SAR image features. After, remove speckles by 2D wavelet filtering. Lastly, invert the pyramid filtering recovering SAR image. The content experimental result of remove speckles on SAR images is expected.