基于小波域HMT模型InSAR干涉图噪声滤波研究  

InSAR Interferogram Filtering Using Wavelet-Domain Hidden Markov Tree Model

作　　者：何敏[1] 何秀凤[1] 

机构地区：[1]河海大学卫星及空间信息应用研究所,江苏南京210098

出　　处：《遥感技术与应用》2007年第4期531-535,共5页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(50579013);江苏省研究生培养创新工程资助项目

摘　　要：相干斑噪声是InSAR干涉图固有的,且InSAR干涉图对相干斑噪声十分敏感,为了得到精度更高的干涉测量产品,需要对干涉图进行相干斑噪声滤波。针对InSAR干涉图中相干斑噪声的统计特性,提出了一种基于小波域HMT模型的InSAR干涉图滤波算法,对InSAR干涉图的实部和虚部分别进行处理。试验研究结果表明,该方法在有效抑制相干斑的同时,还能有效地保持相位的细节信息和条纹的边缘结构,而且大大地减少了残余点的数量,有利于提高InSAR干涉测量的精度。Speckle noise is an intrinsic property of InSAR interferograms, and InSAR interferograms are sensitive to it. In order to obtain a more accurate interferometric product, a noise filtering step must be performed. According to the statistical property of speckle noise, SAR interferograms filtering using wavelet-domain hidden markov tree （HMT） model is studied. It is employed to filter the real component and the imaginary component of interferogram respectively. The result shows that the new method is powerful to interferogram speckle noise suppression and residues reduction, as well as it can be preserved fine phase details and fringes＇ structures. The method proposed can improve the accuracy of interferometric products.

关 键 词：HMT INSAR 干涉图 相干斑 滤波 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置] TN958[自动化与计算机技术—控制科学与工程]