RADARSAT图象滤波的研究

在分析 SAR图象斑点噪声特性和主要滤波算法的基础上 ,将中值滤波、均值滤波、LEE与增强 LEE滤波、FROST与增强 FROST滤波、KUAN滤波、GAMMA滤波、小波软阈值滤波等算法应用于 RADARSAT图象滤波 ,以平滑指数和边缘保持指数等作为评价指标 ,对各种方法进行了比较 .结果表明 ,中值、均值滤波算法的效果较差 ,而各种自适应滤波算法和小波软阈值算法是最有效的

Research on Filtering of RADARSAT Images

Based on the analysis of the characteristics of speckle noise in SAR images and popular filtering methods used in SAR images, some filtering methods, including median filtering, average filtering, LEE and enhanced LEE filtering, FROST and enhanced FROST filtering, KUAN filtering, GAMMA filtering and soft threshold algorithm based on wavelet transform were applied to RADARSAT images. The flatness index, the edge remaining index and primary statistical parameters were used to compare the results of different methods. The result shows that the traditional average and median filtering methods are noneffective and low in precision for RADARSAT images, but the adaptive algorithms and the soft threshold algorithm based on wavelet transform are the most effective methods.