结合PS特征点的SBAS地表形变监测

针对SARscape SBAS技术存在人工选取地面控制点影响监测结果的问题，本文提出了一种结合PS特征点的SBAS地表形变监测方法。通过设置PS技术中的振幅离差指数与相干性阈值，提取PS监测结果中的特征点作为地面控制点进行轨道精炼与形变反演。以2017年3月至2018年12月覆盖南昌地区的Sentinel-1影像为数据源，进行了地表形变监测与验证。结果表明：①该方法与PS方法监测结果均显示南昌市城区在监测时段内整体呈小幅度上升趋势，年平均沉降速率相关性达到了0.959，具有高度一致性。②将该方法、PS方法、人工选取地面控制点的SBAS方法的监测结果与水准数据进行对比，该方法与水准数据的误差不超过3.5 mm，说明了该方法的有效性。

SBAS surface deformation monitoring with PS feature points

In view of the problem that the artificial selection of ground control points in SARscape SBAS will affect the monitoring results, a SBAS surface deformation monitoring method with PS feature points is proposed. By setting the amplitude dispersion index and the coherence threshold in PS, the feature points in PS monitoring results are extracted as the ground control points for orbit refining and deformation inversion. The Sentinel-1 images covering Nanchang area from March 2017 to December 2018 are used to monitor and verify the surface deformation. Both the monitoring results of this method and PS method show that the study area has a small increase during the monitoring period. The correlation of annual average sedimentation rate reached 0.959, which is highly consistent. The monitoring results of this method, PS method and the SBAS method of manually selecting ground control point are compared with the leveling data. The error between this method and the leveling data was no more than 3.5 mm, which shows the validity of this method.