极化干涉SAR面向城区不同处理模式的误差影响分析

吕泽鑫 仇晓兰 张柘 丁赤飚

吕泽鑫, 仇晓兰, 张柘, 等. 极化干涉SAR面向城区不同处理模式的误差影响分析[J]. 雷达学报, 2022, 11(4): 600–617. doi: 10.12000/JR22059
引用本文: 吕泽鑫, 仇晓兰, 张柘, 等. 极化干涉SAR面向城区不同处理模式的误差影响分析[J]. 雷达学报, 2022, 11(4): 600–617. doi: 10.12000/JR22059
LYU Zexin, QIU Xiaolan, ZHANG Zhe, et al. Error analysis of polarimetric interferometric SAR under different processing modes in urban areas[J]. Journal of Radars, 2022, 11(4): 600–617. doi: 10.12000/JR22059
Citation: LYU Zexin, QIU Xiaolan, ZHANG Zhe, et al. Error analysis of polarimetric interferometric SAR under different processing modes in urban areas[J]. Journal of Radars, 2022, 11(4): 600–617. doi: 10.12000/JR22059

极化干涉SAR面向城区不同处理模式的误差影响分析

doi: 10.12000/JR22059
基金项目: 国家自然科学基金(61991421, 62022082)
详细信息
    作者简介:

    吕泽鑫(1994-),男,中国科学院空天信息创新研究院在读博士生。研究方向为无人机极化干涉SAR误差分析、干涉SAR高程反演、极化干涉SAR在城区中的应用

    仇晓兰(1982–),女,中国科学院空天信息创新研究院研究员,博士生导师,IEEE高级会员、IEEE地球科学与遥感快报副主编、雷达学报青年编委。主要研究方向为SAR成像处理、SAR图像理解

    张 柘(1988–),男,博士,中国科学院空天信息创新研究院、苏州空天信息研究院研究员,博士生导师。研究方向为稀疏信号处理与合成孔径雷达成像

    丁赤飚(1969–),男,研究员,博士生导师,中国科学院院士,先后主持多项国家863重点项目和国家级遥感卫星地面系统工程建设等项目,曾获国家科技进步一等奖、二等奖,国家发明二等奖等奖励。研究方向为合成孔径雷达、遥感信息处理和应用系统等

    通讯作者:

    仇晓兰 xlqiu@mail.ie.ac.cn

  • 责任主编:陈尔学 Corresponding Editor: CHEN Erxue
  • 中图分类号: TN959.3

Error Analysis of Polarimetric Interferometric SAR under Different Processing Modes in Urban Areas

Funds: The National Natural Science Foundation of China (61991421, 62022082)
More Information
  • 摘要: 极化干涉合成孔径雷达(PolInSAR)在城区等复杂场景下的应用受到了越来越多的关注。面向城区的极化干涉SAR处理主要包括基于极化最优相干的干涉测高、基于极化分解的干涉测高、联立极化干涉观测方程直接求解不同散射机制高度这3种模式。现有研究对各类误差在极化干涉SAR不同处理模式下的综合影响分析尚很欠缺。该文在构建极化干涉SAR误差模型的基础上,提出了联立极化观测方程下散射机制的求解方法,推导了极化失真和干涉误差在极化干涉SAR不同处理模式下的综合影响模型,并通过仿真验证了模型的正确性,同时给出了3种处理模式补偿误差后的高度反演结果,补偿误差后通过极化最优相干得到建筑区域高度的均方根误差(RMSE)为2.77 m。在此基础上,通过仿真给出了极化干涉SAR不同处理模型下的误差影响曲线,比较了不同处理模型受误差影响的程度,并给出了合理解释,研究结果为极化干涉SAR系统设计、处理方法选择及数据应用提供了参考。

     

  • 图  1  干涉SAR观测几何示意图

    Figure  1.  The schematic diagram of InSAR

    图  2  仿真图像

    Figure  2.  Simulation image

    图  3  极化干涉误差模型的验证

    Figure  3.  Verification of PolInSAR error model

    图  4  Pauli分解下的极化干涉误差模型验证(单一高度)

    Figure  4.  Verification of error model under Pauli decomposition (Single height)

    图  5  Pauli分解下的极化干涉误差模型验证(高度差)

    Figure  5.  Verification of error model under Pauli decomposition (Height difference)

    图  6  结合ESPRIT的极化相干误差模型验证(单一高度)

    Figure  6.  Verification of error model of PolInSAR combined with ESPRIT (Single Height)

    图  7  结合ESPRIT的极化相干误差模型验证

    Figure  7.  Verification of error model of PolInSAR combined with ESPRIT

    图  8  极化串扰对ESPRIT分解得到的高度的影响

    Figure  8.  Effects of crosstalk on height obtained by ESPRIT decomposition

    图  9  两天线极化失真一致时,极化失真对ESPRIT误差模型的影响

    Figure  9.  Effects of polarization distortion on ESPRIT error model when distortion is equal on two antennas

    图  10  极化失真对极化干涉高度反演的影响

    Figure  10.  Effects of polarization distortion on height obtained by PolInSAR

    图  11  干涉误差对极化干涉高度反演的影响

    Figure  11.  Effects of interferometric error on height obtained by PolInSAR

    图  12  极化失真对Pauli分解下高度反演结果的影响

    Figure  12.  Effects of polarization distortion on height obtained by Pauli decomposition

    图  13  干涉误差对Pauli分解下高度反演结果的影响

    Figure  13.  Effects of interferometric error on height obtained by PolInSAR

    图  14  极化失真对Pauli分解的影响

    Figure  14.  Effects of polarization distortion on Pauli decomposition

    图  15  干涉误差与信噪比对Pauli分解的影响

    Figure  15.  Effects of interferometric error on Pauli decomposition

    图  16  极化失真对ESPRIT分解的影响

    Figure  16.  Effects of polarization distortion on ESPRIT

    图  17  干涉误差对ESPRIT分解的影响

    Figure  17.  Effects of interferometric error on ESPRIT

    图  18  极化失真对散射机制高度差的影响

    Figure  18.  Effects of polarization distortion on height difference of scattering mechanisms

    图  19  干涉误差对散射机制高度差的影响

    Figure  19.  Effects of interferometric error on height difference of scattering mechanisms

    图  20  3类机制混合的极化误差对ESPRIT分解的影响

    Figure  20.  Effects of polarization distortion on ESPRIT mixed by 3 mechanisms

    图  21  3类机制混合的干涉误差对ESPRIT分解的影响

    Figure  21.  Effects of interferometric error on ESPRIT mixed by 3 mechanisms

    图  22  无人机载极化干涉SAR系统

    Figure  22.  UAV-borne PolInSAR system

    图  23  无人机载极化干涉SAR系统成像区域

    Figure  23.  Imaging area of UAV-borne system

    图  24  真实高度

    Figure  24.  Real height

    图  25  极化最优相干反演的高度图

    Figure  25.  Height retrieved by polarimetric optimal coherence

    图  26  单次散射反演的高度图

    Figure  26.  Height retrieved by single scattering

    图  27  ESPRIT反演的高度图

    Figure  27.  Height retrieved by ESPRIT

    表  1  系统仿真参数

    Table  1.   Simulation parameters of system

    参数数值
    中心频率15.2 GHz
    飞行高度205 m
    斜距889 m
    基线0.6 m
    基线角–1°
    下载: 导出CSV

    表  2  ESPRIT方法得到散射机制的结果

    Table  2.   Scattering mechanisms obtained by ESPRIT

    极化方式主图像辅图像含串扰的
    主图像
    含串扰的
    辅图像
    单次散射–0.89
    +0.11i
    –0.85
    –0.25
    –0.54
    +0.03i
    –0.45
    –0.33i
    0°二次散射0.02
    –0.01i
    0.02
    –0.01i
    0.02
    +0.01i
    0.02
    +0.01i
    45°二次散射1111
    下载: 导出CSV

    表  3  ESPRIT方法得到的干涉相位

    Table  3.   Interferometric phase obtained by ESPRIT

    极化方式理想(°)含串扰(°)
    单次散射58.9058.41
    45°二次散射84.8784.24
    下载: 导出CSV

    表  4  Pauli分解得到散射机制的结果

    Table  4.   Scattering mechanisms obtained by Pauli decomposition

    极化方式主图像辅图像含串扰的主图像含串扰的辅图像
    单次散射0.100.290.09+0.04i0.28+0.04i
    0°二次散射0.0020.001i–0.001i0.003
    45°二次散射1111
    下载: 导出CSV

    表  5  –20 dB串扰误差下两种分解的干涉相位误差

    Table  5.   Interferometric phase error of two decompositions under –20 dB crosstalk

    极化方式ESPRIT (°)Pauli (°)
    单次散射0.4915.69
    45°二次散射0.63–0.45
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-04-02
  • 修回日期:  2022-05-28
  • 网络出版日期:  2022-06-27
  • 刊出日期:  2022-08-28

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