一种基于偏振散射相似度的自适应滤波方法

Chen Zhi-peng, Xue Hui-feng
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引用次数: 0

摘要

为了克服传统极化滤波算法在保持极化散射特征方面的不足,探索了极化散射相似度(PSS)算法,并将其应用于极化SAR图像的滤波。文中对李氏滤波器进行了改进设计和测量。为了保持图像中不同目标的偏振散射特性,以PSS值为标准提取均匀区域,过滤中心像元。同时,设计了自适应滑动窗口来寻找中心像素附近的均匀区域。该方法在极化滤波过程中可以很好地保持极化散射特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Polarimetric-Scattering-Similarity-Based Adaptive Filtering Method
In order to overcome the insufficiency of traditional polarimetric filtering algorithms on polarimetric scattering characteristic preservation, the polarimetric scattering similarity (PSS) is explored and used in filtering the polarimetric SAR imagery. In the letter, an improvement of Lee filter is designed and measured. To preserve the polarimetric scattering characteristics of the different targets in the imagery, PSS value is referred as a standard to extract the homogenous areas to filter the central pixel. Meanwhile, an adaptive slipping window is designed to find the homogenous areas in the neighborhood of the central pixel. With this method, the polarimetric scattering characteristic can be well kept during the polarimetric filtering process.
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