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On the Generation of Late ERS Deformation Time Series Through Small Doppler and Baseline Subsets Differential SAR Interferograms

机译:通过小多普勒和基线子集差分SAR干涉图生成后期ERS变形时间序列

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摘要

In this letter, we investigate the potential of the small baseline subset (SBAS) differential synthetic aperture radar interferometry (DInSAR) technique to produce consistent deformation time series by using data sets of SAR images with high Doppler centroid (DC) frequencies. To cope with this issue properly, we exploited an archive of SAR scenes acquired by the European Remote Sensing 2 (ERS-2) sensor after the February 2000 three-gyroscope navigation mode failure. Our approach is oriented toward the long-term investigation of large-scale displacements with low spatial resolution (about 100 $times$ 100 m) by processing sets of SAR images without discarding scenes depending on their DC values. Our analysis involves a set of descending SAR data frames from 1992 to 2007 relevant to the Napoli (Italy) bay area. Comparison with contemporaneous Global Positioning System measurements clearly confirms the effectiveness of the proposed approach.
机译:在这封信中,我们通过使用具有高多普勒质心(DC)频率的SAR图像数据集,研究了小基线子集(SBAS)差分合成孔径雷达干涉测量(DInSAR)技术产生一致的变形时间序列的潜力。为了正确地解决此问题,我们利用了2000年2月三陀螺仪导航模式失败后由欧洲遥感2(ERS-2)传感器获取的SAR场景的档案。我们的方法是通过处理SAR图像集而无需视场景的DC值而丢弃场景,从而着眼于长期研究具有低空间分辨率(约100 x 100 m)的大规模位移。我们的分析涉及1992年至2007年与那不勒斯(意大利)海湾地区有关的一组SAR下降数据帧。与同期全球定位系统测量结果的比较清楚地证实了该方法的有效性。

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