质量引导下的最小二乘相位解缠算法  

A quality-guided least squares phase unwrapping algorithm

作　　者：肖晖 李惠堂 顾约翰 盛庆红[1] XIAO Hui;LI Huitang;GU Yuehan;SHENG Qinghong(College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;School of Environmental Sciences,Nanjing Xiaozhuang University,Nanjing 211171,China)

机构地区：[1]南京航空航天大学航天学院,南京210016 [2]南京晓庄学院环境科学学院,南京211171

出　　处：《自然资源遥感》2023年第4期25-33,共9页Remote Sensing for Natural Resources

基　　金：国家自然科学基金项目“基于商空间粒度合并的控制数据选优定权方法研究”(编号:41701531)资助。

摘　　要：干涉合成孔径雷达(interferometric synthetic aperture Radar,InSAR)利用干涉图的相位信息提取地面目标的三维信息,相位解缠是InSAR处理流程中的重要步骤,解缠结果的精确性直接决定获取数字高程模型(digital elevation model,DEM)或者地表形变信息的精度。针对复杂山区中严重的相位失相关和相位噪声问题,划分研究区域干涉相位质量高低,提出了质量引导下的最小二乘相位解缠算法,对模拟的低噪声干涉相位数据和中国秦岭地区Sentinel-1A InSAR干涉影像对数据进行相位解缠,结果表明所提算法能有效改善高低质量区域间的相位一致性,提高相位解缠整体精度。Interferometric synthetic aperture Radar(InSAR)can extract three-dimensional information about a ground target from the phase information in an interferogram.Phase unwrapping is an important step in the InSAR process,and its accuracy dictates the accuracy of the digital elevation model(DEM)or the ground deformation information.To overcome the serious phase decorrelation and phase noise in complex mountainous areas,this study divided the study area according to the quality of interference phases and proposed a quality-guided least squares phase unwrapping algorithm.Then,the algorithm was employed for the phase unwrapping of simulated low-noise interferometric phase data and Sentinel-1A InSAR interferometric images of the Qinling area of China.The results show that the proposed algorithm can effectively improve the phase consistency among high-and low-quality zones and the overall accuracy of phase unwrapping.

关 键 词：INSAR 相位解缠 质量引导法 最小二乘法 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]