以SBAS-InSAR解算结果为基础，采用融合序贯平差思想的渐进式SBAS-InSAR处理新增影像。在绝大部分已有数据形变参数和已有数据参数矩阵不变的情况下，仅将新增影像与较新的少部分已有影像进行增量解算，以获取所有影像时刻的地表形变结果，并以2019-06~2020-04北京平原地区地表形变为例进行实验。结果表明，利用渐进式SBAS-InSAR及SBAS-InSAR获取的地表形变速率之差的平均值和标准差分别为0.01 mm/a和0.1 mm/a，且渐进式SBAS-InSAR的解算时间仅为SBAS-InSAR的1/5~1/2。

Based on sequential adjustment, we use progressive SBAS-InSAR to process the new images. Using the obtained results derived from SBAS-InSAR, only a small part of the existing images is combined with the newly acquired data to update corresponding time series deformation of all SAR images. Taking the surface deformation in Beijing plain from June 2019 to April 2020 as an example, the experimental results show that the mean and RSME of the surface deformation rate difference between the progressive and the traditional SBAS-InSAR are 0.01 mm/a and 0.1 mm/a, respectively. Moreover, the processing time of progressive SBAS-InSAR is just 1/5-1/2 times that of SBAS-InSAR.