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基于分类的极化干涉SAR数据相干斑滤波方法
作者姓名:齐文璐  李洋  王鹏  洪文
作者单位:1. 中国科学院电子学研究所, 北京 100190;2. 微波成像技术重点实验室, 北京 100190;3. 中国科学院研究生院, 北京 100190
基金项目:国家自然科学基金(60890071,60902100)资助
摘    要:提出一种极化干涉SAR数据滤波方法.通过结合最优干涉相干系数和Freeman-Durden分解的非监督分类方法,利用干涉信息对极化信息不敏感的体散射区域进行进一步的划分;再选择与中心像素同类且干涉相位相近的像素参与滤波,达到在滤波的同时更好地保护数据极化信息和干涉信息的目的.利用ESAR数据进行实验,证明2种改进算法在抑制相干斑的同时,能有效保持目标散射特性、数据极化信息和干涉信息.

关 键 词:合成孔径雷达  相干斑滤波  最优干涉相干系数  
收稿时间:2011-02-23
修稿时间:2011-06-14

Speckle filtering of polarimetric SAR interferometry data based on classification
Authors:QI Wen-Lu  LI Yang  WANG Peng  HONG Wen
Institution:1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;2. The National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China;3. Graduate University of Chinese Academy of Sciences, Beijing 100190, China
Abstract:A speckle filter for polarimetric synthetic aperture radar interferometry data is proposed. By using the unsupervised classification method which combines optimal polarimetric interference coherence with Freeman-Durden decomposition and by selecting the pixels belonging to the same classification as the central pixel and having simiar interferometric phase to the center pixel, the filter can suppress speckle noise well while protect data polarization information and interference information. ESAR data are used in experiment.
Keywords:synthetic aperture radar                                                                                                                        speckle filter                                                                                                                        optimal coherence
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