一种改进的自适应窗口滤波的SAR图像去噪算法

SAR的广泛应用及其距离、方位上的高分辨率,使其受到人们越来越多的重视。但是SAR图像中的斑点噪声却严重地制约了它的进一步的应用。根据SAR图像的成像过程提出了一种改进的抑制SAR图像中斑点噪声的算法-自适应窗口空间域平滑算法。它根据窗内像素点的统计特征自适应调节窗口大小,并通过门限来决定是否需要改变窗的尺寸,达到在同性质区增大窗口来抑制斑点噪声,同时在异性质区减小窗口以最大限度地保护图像细节的目的。对实际SAR图像的验证,说明它在抑制斑点噪声和保存图像细节信息方面较之原方法有了一定的改进和提高。

An Improved Denoising Method in SAR Image Using Adaptive Window

Due to the extensive application and good performance of the synthetic aperture radar(SAR), the study to SAR image becomes more and more important. But the intensive analysis to the SAR image is hampered by the speckle noise within it. Based on the knowledge of SAR imaging system, an improved method that uses the adaptive window to suppress the speckle noise in SAR images is proposed in this paper. Compared with the classical fix\|window spatial filtering method, this proposed one can adjust the size of filtering window adaptively according to the statistical of pixels within the window, and it can well suppress the speckle noise in the homogenous area and preserve the detail information in heterogenous area. In simulating experiment, this new method is proved good performance in reducing speckle and preserving edges at the same time.