中文摘要：

合成孔径雷达成像过程中产生的固有随机相干斑噪声严重影响图像质量，因此对相干斑噪声的抑制研究具有重要意义．针对传统相干斑噪声的抑制方法不能兼顾去除斑点噪声和保护图像纹理信息的问题，笔者提出一种柔性形态学参数对称对数图像处理新算法．该算法结合柔性形态学顺序统计量的灵活性与参数对称的对数图像处理模型自适应处理图像负值部分的特性，抑制合成孔径雷达影像斑点噪声，并且能够较好地保护图像纹理及细节信息．为验证新算法的去噪性能，将其与已有的一些滤波算法的滤波效果比较，并利用抑斑图像质量评价指标，评价新算法滤波性能．实验结果表明，该算法在抑制斑点噪声的同时很好地保留了图像细节信息，且其滤波效果优于现有的合成孔径雷达影像斑点噪声抑制算法．

英文摘要：

Synthetic Aperture Radar （SAR） imaging has the inherent random speckle noise, which seriously affects the quality of the SAR image, and it is very important to study the suppression of the speckle noise. In view of the fact that the traditional spot noise suppression method could not remove speckle noise while protecting the image texture information, a novel filtering algorithm is proposed based on the soft morphological and parameterized symmetric logarithmic image processing model. The proposed algorithm combines the flexibility of the order-statistic soft morphological operations and the characteristic of the parameterized symmetric logarithmic image processing model which establishes a parameterized symmetric structure processing part of the image, which can suppress speckle noise while protecting the texture information on the image. In order to validate the despecking performance of the proposed algorithm, we compare the effect of the filter with some of the existing filtering algorithms, and use some of the image evaluation parameters of the suppress speckle noise image to evaluate the performance of the SMPSLIP filtering algorithm. Experimental results show the effectiveness of this algorithm.