An Adaptive Method for Speckle Filtering of SAR Image Based on Local Relative Standard Deviation
一种基于相对标准差的SAR图像Speckle滤波方法

SAR images are subject to speckle effects which considerably reduce the detection of useful details within the scenes. Based on the analysis of the local speckle statistic characteristics of SAR image (such as relative standard deviation C u ) and algorithms of spatial filtering, an adaptive speckle filtering method is presented in this paper. Firstly, the special pixel neighborhood model is used in the selection of filtering windows, with which the filtering window is divided into 8 mutually exclusive sub windows and the central pixel is the only repetitions pixel in each sub window. Then, for every window to be filtered, the local relative standard deviation C i is calculated in all sub windows and used as the criteria to select the sub windows with C i