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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。Abstract: 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.
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Key words:
- InSAR /
- phase unwrapping /
- quality-guided method /
- least squares method
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