摘要
针对高分辨率COSMO雷达卫星,在分析COSMO影像斑点噪声特性和主要滤波算法的基础上,将雷达主流滤波算法应用于COSMO影像,以统计特征指数和边缘保持指数等作为评价指标,对各种方法进行比较。结果表明,Kuan滤波方法能够较好的平滑影像的斑点噪声,增强Frost滤波方法能够较好的还原影像的纹理特征。通过应用不同滤波方法分析对比,发现改进增强Frost去噪效果更为有效。
After having analyzed the nature of speckle noise in the image of high resolution satellite COSMO radar and the main filtering algorithm,we integrated the filtering algorithm of radar that is used in the shadow of COSMO,and then we took the index statistics and index finger of the preservation board as an evaluation index,methods therefore different were compared;the primary endpoints and statistical indices of evenness were used to compare results from different methods.The result shows that the Kuan filtering method could smooth the speckle image;the enhanced Frost filtering method restores better the image of texture features.Through the analysis and comparison with different approaches of screening,we realize that if we could improve and enhance the Frost filtering method for denoising,it should be more effective for remove the noise.
出处
《国土资源信息化》
2012年第4期85-88,共4页
Land and Resources Informatization
