时间序列InSAR监测地表形变

Surface deformation detected by time-series InSAR

针对相干点目标的时间序列,提出了地表形变InSAR技术监测方法,该方法适用于小数据集分析。并采用郑州地区2007年1月到2010年4月期间的8景ALOS PALSAR数据进行验证分析。研究表明,识别的相干点目标具有大的干涉相干值和小的振幅离差,在时间序列中具有可靠的相位。从误差分析和与ENVISAT PSInSAR结果对比分析表明,该文求得的形变速率标准差在0.34mm/a和5.56mm/a之间,表明提出方法是可靠的。

A time-series InSAR method is proposed to monitor the ground motion, which is suitable for small SAR data. The algorithm are tested and validated using 8 ALOS PALSAR SAR images over Zhengzhou urban area during 2007-2010. The identified coherent scatterers not only have high interferometric coherence, but also have small amplitude diversion index, which indicates maintain stable phase in the time series. Line-of-sight displacement estimation errors are between 0.34 mm/y and 5.56 mm/y based on error analysis and comparing with PSInSAR result, which demonstrates that the proposed algorithm is reliable.