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Demonstration of Time-Series InSAR Processing in Beijing Using a Small Stack of Gaofen-3 Differential Interferograms

机译:北京时序序列加工的演示使用小堆栈的高芬3个差动干扰图

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摘要

More and more synthetic aperture radar (SAR) satellites in orbit provide abundant data for remote sensing applications. In August 2016, China launched a new Earth observation SAR satellite, Gaofen-3 (GF-3). In this paper, we utilize a small stack of GF-3 differential interferograms to map land subsidence in Beijing (China) using the time-series SAR interferometry (InSAR) technique. The small stack of differential interferograms is generated with 5 GF-3 SAR images from March 2017 to January 2018. Orbit errors are carefully addressed and removed during differential InSAR (DInSAR) processing. Truncated singular-value decomposition (TSVD) is applied to strengthen the robustness of deformation rate estimation. To validate the results of GF-3 data, an additional deformation measurement using 26 Sentinel-1B images from March 2017 to February 2018 is carried out using the persistent scatterer interferometry (PSI) technique. By implementing a cross-comparison, we find that the retrieved results from GF-3 images and Sentinel-1 images are spatially consistent. The standard deviation of vertical deformation rate differences between two data stacks is 11.24 mm/y in the study area. The results shown in this paper demonstrate the reasonable potential of GF-3 SAR images to monitor land subsidence.
机译:轨道中的越来越多的合成孔径雷达(SAR)卫星提供了丰富的遥感应用数据。 2016年8月,中国推出了一种新的地球观察SAR卫星,高芬-3(GF-3)。在本文中,我们利用了一堆GF-3差动干涉图来使用时间序列SAR干涉测量(INSAR)技术来映射北京(中国)的土地沉降。从2017年3月到2018年1月,使用5 GF-3 SAR图像产生的小型差动干涉图。在差分insar(dinsar)处理期间仔细解决和去除轨道误差。截断的奇异值分解(TSVD)被应用于增强变形速率估计的鲁棒性。为了验证GF-3数据的结果,使用持久的散射器干涉测量(PSI)技术进行了从2017年3月到2018年3月的26月到2018年2月的额外变形测量。通过实现交叉比较,我们发现来自GF-3图像和Sentinel-1图像的检索结果是空间一致的。在研究区域中,两个数据堆叠之间的垂直变形速率差异的标准偏差为11.24mm /次。本文所示的结果证明了GF-3 SAR图像的合理潜力,以监测土地沉降。

著录项

  • 来源
    《Journal of Sensors》 |2019年第2期|共13页
  • 作者单位

    University of Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

    Space Microwave Remote Sensing System Department Institute of Electronics Chinese Academy of Sciences;

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  • 正文语种 eng
  • 中图分类 TP212;
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