Combined despeckling algorithm of synthetic aperture radar images based on region classification, adaptive windowing and structure detection
Combined despeckling algorithm of synthetic aperture radar images based on region classification, adaptive windowing and structure detection
复制标题
DOI：
10.7498/aps.59.3210
复制
发表时间：
2010-05
期刊：
影响因子：
--
通讯作者：
Zeng-Guo Sun;Chong-Zhao Han
中科院分区：
文献类型：
--
作者：
Zeng-Guo Sun;Chong-Zhao Han
为了克服传统的SAR图像局部统计相干斑滤波器的缺点，提出了一种基于区域分类、自适应加窗和结构检测的组合相干斑抑制算法.该算法首先对局部区域进行分类，直接保留强边缘、强结构和点目标，然后对局部区域进行自适应加窗和结构检测，最后对局部区域进行自适应加窗，最后对局部区域进行相干斑抑制.最后，对新的滤波窗口进行分类，对于均匀区域，直接使用平均滤波器;对于边缘和结构区域，通过检测图像的结构信息，选择均匀子窗口作为最终滤波区域，并进行相干斑抑制实验，实验结果表明，该组合算法有效地抑制了均匀区域和边缘区域的相干斑，并且很好地保留了强边缘和结构信息以及点目标。
In order to overcome the shortcomings of the conventional local statistical speckle filters for synthetic aperture radar (SAR) images,a combined despeckling algorithm is proposed based on region classification,adaptive windowing,and structure detection.Firstly,the combined despeckling algorithm classifies the local region and directly preserves the strong edges and structures as well as the point targets.Then,the homogeneous region and the weak edge and structure region grow adaptively to obtain appropriate filtering windows.Lastly,the new filtering windows are classified.For the homogeneous region,the averaged filter is directly used.For the edge and structure region,the structure information is detected and the homogeneous sub-window is selected as the final filtering region.Despeckling experiments demonstrate that,the combined despeckling algorithm effectively suppresses the speckles in homogeneous region and edge region,and well preserves the strong edge and structure information as well as the point targets.