【摘要】 多样性InSAR数据融合是弥补单基线InSAR生成DEM所存在不足的重要手段。鉴于以往的融合研究大多基于相同InSAR系统构型与工作模式的同源数据，文章提出一种双站与重轨InSAR异源数据融合获取DEM的方法和处理流程，重点研究了融合区域识别、重轨干涉大气校正等关键问题。为验证方法的有效性，使用一对天绘二号双站干涉数据结合多个异源重轨干涉数据进行融合，开展获取DEM实验，并采用GNSS实测数据和WorldDEM对DEM精度进行了验证。结果表明，融合后的DEM解缠错误及叠掩、阴影导致的无效点数明显减少，融合后的DEM相比单基线天绘二号干涉生成的DEM高程精度提高了11.6%。更多还原

【Abstract】 Fusing diverse InSAR data to generate DEM is an important way to remedy the shortcomings of DEM generated by single-baseline InSAR,and most of the published fusion studies are based on data obtained from the SAR system with same configuration and working mode. In this paper, we propose a method and workflow which generate DEM through the fusion of bistatic and repeat-pass InSAR data. We focuse on the key steps such as fusion area identification and repeat-pass InSAR atmospheric correction. In order to demonstrate the effectiveness of the method, the fusion experiment is carried out using a pair of TH-2 bistatic interferometrical data and multiple repeat-pass interferometrical data. The GNSS measurement results and WorldDEM are used to evaluate the accuracy of the fused DEM. The results show that the number of invalid points of DEM caused by layover and shadows decreases significantly after the fusion process. Compared with the DEM generated by single baseline TH-2 interferometry, the elevation accuracy of the fused DEM is improved by 11.6%.更多还原