首页 | 本学科首页   官方微博 | 高级检索  
     检索      

SAR干涉图的静态小波域MAP法滤波
引用本文:岳焕印,郭华东,王长林,杨虎.SAR干涉图的静态小波域MAP法滤波[J].遥感学报,2002,6(6):456-463.
作者姓名:岳焕印  郭华东  王长林  杨虎
作者单位:中国科学院,遥感应用研究所遥感信息科学重点实验室,北京,100101
基金项目:国家自然科学基金重点项目(49989001),国家863计划课题(2001AA132040),中国科学院创新工程(KZCX2-312)资助。
摘    要:SAR干涉图中的斑点噪声是对相位解缠的极大障碍,为了得到更精确的地形模型,必须在相位解缠前对干涉图进行斑点噪声滤波。提出了一种干涉图的小波域多尺度滤波算法。对干涉图的实部和虚部分别进行处理,用Pearson分布系确定了信号和噪声项小波系数的概率密度函数,然后用最大后验概率(Maximum A Posterior,MAP)准则估计无噪数据的小波系数。将本算法和另外3种滤波算法进行比较。结果表明,本滤波算法对SAR干涉图有很强的噪声抑制能力,并能保持干涉图的相位细节信息和相位分布。

关 键 词:静态小波分解  最大后验概率  滤波  合成  孔径雷达  遥感图像
文章编号:1007-4619(2002)06-0456-08
收稿时间:5/1/2002 12:00:00 AM
修稿时间:2002年5月1日

SAR Interferogram MAP Filtering Based on Stationary Wavelet Transform
YUE Huan-yin,GUO Hua-dong,WANG Chang-lin and YANG Hu.SAR Interferogram MAP Filtering Based on Stationary Wavelet Transform[J].Journal of Remote Sensing,2002,6(6):456-463.
Authors:YUE Huan-yin  GUO Hua-dong  WANG Chang-lin and YANG Hu
Abstract:Strong speckle noise of SAR interferogram is a great obstacle to phase unwrapping. In order to obtain a more accurate topographic model, a noise filtering step must be performed before the unwrapping of phase. In this article, we propose to filter this noise with a multi-resolution analysis of the interferogram, the real part and the imaginary part of the interferogram are processed seperatively. Several different probability density function are modeled with the Pearson system of distributions, then the wavelet coefficients of the noiseless data are estimated with a Bayesian model, maximizing the posteriori probability density function. The result is compared to that of three other methods and shows that the proposed method is powerful to interferogram speckle noise reduction, as well as it can preserve fine details in the interferogram that are directly related to the ground topography and maintain phase values distribution.
Keywords:SAR interferogram  Stationary wavelet transform  Maximum A Posterior  Filtering
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《遥感学报》浏览原始摘要信息
点击此处可从《遥感学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号