A Fuzzy Filter for SAR Image De-noising
A Fuzzy Filter for SAR Image De-noising
复制标题
SAR图像去噪的模糊滤波器
DOI：
10.1109/icosp.2006.345555
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Jian Yang
中科院分区：
文献类型：
--
作者：
Yilun Chen;F. Huang;Jian Yang
提出了一种新的合成孔径雷达（SAR）相干斑滤波方法。首先提出了模糊窗口的概念，用模糊隶属度函数来描述滤波中心像素与邻域像素散射机制的相似性。在模糊窗口的基础上，提出了一种模糊滤波器，其中邻域窗口中的不同像素根据其隶属函数值对局部统计量计算的贡献不同。通过更多地关注相似散射机制像素，实现了更好的性能，特别是对于边缘/结构保持。使用美国国家航空航天局喷气推进实验室机载SAR数据验证了模糊滤波器的有效性
In this paper, a new approach to speckle filtering of synthetic aperture radar (SAR) data is presented. The idea of fuzzy window is firstly presented, where the similarity of scattering mechanism between the central filtered pixel and neighborhood pixel is depicted by the fuzzy membership function. Based on the fuzzy window, a fuzzy filter is proposed; where different pixels in the neighborhood window make different contribution to the local statistics calculation, according to their membership function value. By paying more attention to the similar scattering mechanism pixels, better performance is achieved, especially for edge/structure preserving. The effectiveness of the fuzzy filter is demonstrated using the National Aeronautics and Space Administration Jet Propulsion Laboratory airborne SAR data