Modified multiple-component scattering power decomposition for PolSAR data based on eigenspace of coherency matrix  

基于相干矩阵特征空间的改进PolSAR数据多元散射能量分解方法

作　　者：ZHANG Shuang WANG Lu WANG Wen-Qing 张爽;王璐;王文卿(西安理工大学自动化与信息工程学院,陕西西安710048;桂林电子科技大学认知无线电与信息处理省部共建教育部重点实验室,广西桂林541004)

机构地区：[1]School of Automation and Information Engineering,Xi'an University of Technology,Xi’an 710048,China [2]Ministry of Education Key Lab.of Cognitive Radio and Information Processing,Guilin University of Electronic Technology,Guilin 541004,China

出　　处：《红外与毫米波学报》2024年第4期572-581,共10页Journal of Infrared and Millimeter Waves

基　　金：Supported by the National Natural Science Foundation of China(62376214);the Natural Science Basic Research Program of Shaanxi(2023-JC-YB-533);Foundation of Ministry of Education Key Lab.of Cognitive Radio and Information Processing(Guilin University of Electronic Technology)(CRKL200203)。

摘　　要：A modified multiple-component scattering power decomposition for analyzing polarimetric synthetic aperture radar(PolSAR)data is proposed.The modified decomposition involves two distinct steps.Firstly,ei⁃genvectors of the coherency matrix are used to modify the scattering models.Secondly,the entropy and anisotro⁃py of targets are used to improve the volume scattering power.With the guarantee of high double-bounce scatter⁃ing power in the urban areas,the proposed algorithm effectively improves the volume scattering power of vegeta⁃tion areas.The efficacy of the modified multiple-component scattering power decomposition is validated using ac⁃tual AIRSAR PolSAR data.The scattering power obtained through decomposing the original coherency matrix and the coherency matrix after orientation angle compensation is compared with three algorithms.Results from the experiment demonstrate that the proposed decomposition yields more effective scattering power for different PolSAR data sets.文章提出了一种改进的极化合成孔径雷达(PolSAR)数据多元散射能量分解方法。改进后的分解方法包括两个不同的步骤。首先,利用相干矩阵的特征向量对散射模型进行修正;其次,利用目标的熵和各向异性来提高体散射能量。该算法在保持城市区域中较高的二次反射散射能量的前提下,有效地提高了植被区域的体散射能量。利用真实的数据验证了该方法的有效性,将原始相干矩阵分解得到的散射能量和方向角补偿后相干矩阵分解的散射能量与三种已有的分解算法进行了对比。实验结果表明,文章提出的分解方法能够更有效地表示不同地物极化SAR数据集的散射能量。

关 键 词：PolSAR data model-based decomposition eigenvalue decomposition scattering power 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]