Volume 12 Issue 1
Feb.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(1): 53-63
BAI Zechao, WANG Yanping, WANG Zhenhai, et al. A non-homogenous atmospheric compensation method for deformation monitoring of wide-field ground-based SAR[J]. Journal of Radars, 2023, 12(1): 53–63. doi: 10.12000/JR22120
Citation: BAI Zechao, WANG Yanping, WANG Zhenhai, et al. A non-homogenous atmospheric compensation method for deformation monitoring of wide-field ground-based SAR[J]. Journal of Radars, 2023, 12(1): 53–63. doi: 10.12000/JR22120
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A Non-homogenous Atmospheric Compensation Method for Deformation Monitoring of Wide-field Ground-based SAR

doi: 10.12000/JR22120
  • 1.

    School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, China

  • 2.

    Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing 100144, China

  • 3.

    School of Geoscience and Info-physics, Central South University, Changsha 410083, China

Funds:  The National Natural Science Foundation of China (61860206013), The National Key R&D Program of China (2018YFC1505103)
More Information
  • Corresponding author: WANG Yanping, wangyp@ncut.edu.cn
  • Received Date: 2022-06-22
  • Rev Recd Date: 2022-07-11
    • Available Online: 2022-07-14
  • Publish Date: 2022-07-28
    Abstract
  • Atmospheric influence is the main interference factor in Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR) deformation monitoring. Due to the complex terrain and various environmental factors, the correction method based on the assumption of a uniform atmospheric influence may lead to low atmospheric correction accuracy. In this paper, a two-stage semi-empirical model is proposed to correct the atmospheric phase screen during the GB-InSAR monitoring of a super large slope under complex atmospheric conditions. First, the observed atmospheric phase is modeled according to the height and range of the terrain structure to correct the linear atmospheric phase. Then, considering the complex atmospheric conditions and the spatially nonuniform atmosphere with a large azimuth field of view, stable Persistent Scatterers (PS) are selected to obtain the atmospheric phase of all PS by interpolation to correct the nonlinear atmospheric phase. This method is used to process a large field of view radar image of the foundation of the Xinpu and Outang landslides in the Three Gorges Reservoir area. Compared with the conventional method, the atmospheric phase error is reduced by approximately 2 mm. This method effectively corrects the nonuniform atmospheric phase under the landslide monitoring scene and meets the wide-area monitoring needs of the landslide.

     

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    • References(24)
  • [1]
    WANG Yanping, HONG Wen, ZHANG Yuan, et al. Ground-based differential interferometry SAR: A review[J]. IEEE Geoscience and Remote Sensing Magazine, 2020, 8(1): 43–70. doi: 10.1109/MGRS.2019.2963169
    [2]
    刘斌, 葛大庆, 李曼, 等. 地基合成孔径雷达干涉测量技术及其应用[J]. 国土资源遥感, 2017, 29(1): 1–6. doi: 10.6046/gtzyyg.2017.01.01

    LIU Bin, GE Daqing, LI Man, et al. Ground-based interferometric synthetic aperture radar and its applications[J]. Remote Sensing for Land &Resources, 2017, 29(1): 1–6. doi: 10.6046/gtzyyg.2017.01.01
    [3]
    BAI Zechao, WANG Yanping, and BALZ T. Beijing land subsidence revealed using PS-InSAR with long time series TerraSAR-X SAR data[J]. Remote Sensing, 2022, 14(11): 2529. doi: 10.3390/rs14112529
    [4]
    HU Jun, LIU Jihong, LI Zhiwei, et al. Estimating three-dimensional coseismic deformations with the SM-VCE method based on heterogeneous SAR observations: Selection of homogeneous points and analysis of observation combinations[J]. Remote Sensing of Environment, 2021, 255: 112298. doi: 10.1016/j.rse.2021.112298
    [5]
    RODELSPERGER S. Real-Time Processing of Ground Based Synthetic Aperture Radar (GB-SAR) Measurements[M]. Darmstadt: Technische Universität Darmstadt, 2011.
    [6]
    IGLESIAS R, AGUASCA A, FABREGAS X, et al. Ground-based polarimetric SAR interferometry for the monitoring of terrain displacement phenomena–Part I: Theoretical description[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(3): 980–993. doi: 10.1109/JSTARS.2014.2360040
    [7]
    PIERACCINI M and MICCINESI L. Ground-based radar interferometry: A bibliographic review[J]. Remote Sensing, 2019, 11(9): 1029. doi: 10.3390/rs11091029
    [8]
    LUZI G, PIERACCINI M, MECATTI D, et al. Ground-based radar interferometry for landslides monitoring: Atmospheric and instrumental decorrelation sources on experimental data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(11): 2454–2466. doi: 10.1109/TGRS.2004.836792
    [9]
    NOFERINI L, PIERACCINI M, MECATTI D, et al. Permanent scatterers analysis for atmospheric correction in ground-based SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(7): 1459–1471. doi: 10.1109/TGRS.2005.848707
    [10]
    PIPIA L, FABREGAS X, AGUASCA A, et al. Atmospheric artifact compensation in ground-based DInSAR applications[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(1): 88–92. doi: 10.1109/LGRS.2007.908364
    [11]
    徐亚明, 周校, 王鹏, 等. GB-SAR构建永久散射体网改正气象扰动方法[J]. 武汉大学学报:信息科学版, 2016, 41(8): 1007–1012, 1020. doi: 10.13203/j.whugis20140507

    XU Yaming, ZHOU Xiao, WANG Peng, et al. A method of constructing permanent scatterers network to correct the meteorological disturbance by GB-SAR[J]. Geomatics and Information Science of Wuhan University, 2016, 41(8): 1007–1012, 1020. doi: 10.13203/j.whugis20140507
    [12]
    黄其欢, 岳建平. 基于稳定点加权的GBSAR大气扰动校正方法[J]. 西南交通大学学报, 2017, 52(1): 202–208. doi: 10.3969/j.issn.0258-2724.2017.01.028

    HUANG Qihuan and YUE Jianping. GBSAR atmospheric turbulence calibration based on weighted stable points[J]. Journal of Southwest Jiaotong University, 2017, 52(1): 202–208. doi: 10.3969/j.issn.0258-2724.2017.01.028
    [13]
    IANNINI L and GUARNIERI A M. Atmospheric phase screen in ground-based radar: Statistics and compensation[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3): 537–541. doi: 10.1109/LGRS.2010.2090647
    [14]
    IGLESIAS R, FABREGAS X, AGUASCA A, et al. Atmospheric phase screen compensation in ground-based SAR with a multiple-regression model over mountainous regions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5): 2436–2449. doi: 10.1109/TGRS.2013.2261077
    [15]
    KARUNATHILAKE A and SATO M. Atmospheric phase compensation in extreme weather conditions for ground-based SAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 3806–3815. doi: 10.1109/JSTARS.2020.3004341
    [16]
    LIU Jie, YANG Honglei, XU Linlin, et al. Novel model-based approaches for non-homogenous atmospheric compensation of GB-InSAR in the azimuth and horizontal directions[J]. Remote Sensing, 2021, 13(11): 2153. doi: 10.3390/rs13112153
    [17]
    HU Cheng, DENG Yunkai, TIAN Weiming, et al. A compensation method for a time-space variant atmospheric phase applied to time-series GB-SAR images[J]. Remote Sensing, 2019, 11(20): 2350. doi: 10.3390/rs11202350
    [18]
    DENG Yunkai, HU Cheng, TIAN Weiming, et al. A grid partition method for atmospheric phase compensation in GB-SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60: 5206713. doi: 10.1109/TGRS.2021.3074161
    [19]
    DENG Yunkai, HU Cheng, TIAN Weiming, et al. 3-D deformation measurement based on three GB-MIMO radar systems: Experimental verification and accuracy analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(12): 2092–2096. doi: 10.1109/LGRS.2020.3014342
    [20]
    胡程, 邓云开, 田卫明, 等. 地基干涉合成孔径雷达图像非线性大气相位补偿方法[J]. 雷达学报, 2019, 8(6): 831–840. doi: 10.12000/JR19073

    HU Cheng, DENG Yunkai, TIAN Weiming, et al. A compensation method of nonlinear atmospheric phase applied for GB-InSAR images[J]. Journal of Radars, 2019, 8(6): 831–840. doi: 10.12000/JR19073
    [21]
    IZUMI Y, ZOU Lilong, KIKUTA K, et al. Iterative atmospheric phase screen compensation for near-real-time ground-based InSAR measurements over a mountainous slope[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(8): 5955–5968. doi: 10.1109/TGRS.2020.2973533
    [22]
    FERRETTI A, PRATI C, and ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8–20. doi: 10.1109/36.898661
    [23]
    ROSEN P A, HENSLEY S, ZEBKER H A, et al. Surface deformation and coherence measurements of Kilauea Volcano, Hawaii, from SIR-C radar interferometry[J]. Journal of Geophysical Research:Planets, 1996, 101(E10): 23109–23125. doi: 10.1029/96JE01459
    [24]
    肖捷夫. 库水涨落和降雨条件下藕塘滑坡变形演化机制及其预测模型研究[D]. [博士论文], 中国地质大学, 2021.

    XIAO Jiefu. Deformation evolution mechanism and displacement prediction model of Outang landslide under water level fluctuation and rainfall[D]. [Ph. D. dissertation], China University of Geosciences, 2021.
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