CAJ | 학술논문

如何从SAR图像中自动识别出有效的永久散射体(PS)是PS干涉系统中的关键环节之一.小波多尺度积能够反映目标信号与噪声在各频带之间的关联性,可以通过小波多尺度积来凸显目标.小波模极大值法通过搜索尺度空间中的模极大值,并利用信号和噪声不同的尺度特性来定位和识别目标.文章对这两种识别方法进行理论分析和实验对比,使用南京地区ENVISAT卫星的单视复图像数据进行了PS点的提取.实验结果表明:基于小波变换的多尺度PS点识别方法能够有效地降低雷达噪声的影像,可以在各种复杂的背景情况下有效地识别PS点.其中,小波模极大值法具有更为稳健的抗噪能力.
여하종SAR도상중자동식별출유효적영구산사체(PS)시PS간섭계통중적관건배절지일.소파다척도적능구반영목표신호여조성재각빈대지간적관련성,가이통과소파다척도적래철현목표.소파모겁대치법통과수색척도공간중적모겁대치,병이용신호화조성불동적척도특성래정위화식별목표.문장대저량충식별방법진행이론분석화실험대비,사용남경지구ENVISAT위성적단시복도상수거진행료PS점적제취.실험결과표명:기우소파변환적다척도PS점식별방법능구유효지강저뢰체조성적영상,가이재각충복잡적배경정황하유효지식별PS점.기중,소파모겁대치법구유경위은건적항조능력.
How to effectively detect and identify permanent scatterers(PS)from SAR images is one of the crucial procedures in PS interferometric system.In this paper,a new method of PS detection is presented by using the Wavelet Multi-scale Product and Wavelet Modulus Maxima according to the PS targets'features and the characteristics of speckle noise in SAR image.This paper analyzes the theory of wavelet multiscale product and wavelet modulus maxima and its suitability for identifying PS points respectively.Using 4 SAR images over Nanjing from satellites ENVISAT of European Space Agency,both of the methods have been validated for PS detection.The testing results show that both algorithms can identify PS from SAR images effectively and reliably,of which the method using wavelet modulus maxima has stronger antinoise ability.