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一种FMCW InSAR系统时变基线估计方法

付希凯 向茂生 汪丙南 蒋帅 杨玉

付希凯, 向茂生, 汪丙南, 蒋帅, 杨玉. 一种FMCW InSAR系统时变基线估计方法[J]. 电子与信息学报, 2017, 39(5): 1024-1029. doi: 10.11999/JEIT160763
引用本文: 付希凯, 向茂生, 汪丙南, 蒋帅, 杨玉. 一种FMCW InSAR系统时变基线估计方法[J]. 电子与信息学报, 2017, 39(5): 1024-1029. doi: 10.11999/JEIT160763
FU Xikai, XIANG Maosheng, WANG Bingnan, JIANG Shuai, YANG Yu. Time-varying Baseline Estimation Method for FMCW InSAR[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1024-1029. doi: 10.11999/JEIT160763
Citation: FU Xikai, XIANG Maosheng, WANG Bingnan, JIANG Shuai, YANG Yu. Time-varying Baseline Estimation Method for FMCW InSAR[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1024-1029. doi: 10.11999/JEIT160763

一种FMCW InSAR系统时变基线估计方法

doi: 10.11999/JEIT160763

Time-varying Baseline Estimation Method for FMCW InSAR

  • 摘要: FMCW InSAR系统由于载机平台高度低,气流扰动严重,位置和姿态变化大,且微机电系统惯性测量单元(MEMS IMU)测量精度低,导致系统出现较大的时变基线,严重影响数字高程模型(DEM)精度。针对这一问题,该文提出了一种FMCW InSAR系统的时变基线估计方法。首先利用双通道单视复图像数据,估计出各个距离门内的时变基线导数,然后建立时变基线的距离向空变模型,利用随机抽样一致性检验的方法对模型进行求解,解得水平和垂直向的时变基线导数值,对其积分得到时变基线值。最后通过FMCW InSAR实际数据对时变基线进行估计,并与高精度位置和姿态测量系统(POS)记录的数据进行对比,验证了所提方法的有效性。
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出版历程
  • 收稿日期:  2016-07-20
  • 修回日期:  2016-11-02
  • 刊出日期:  2017-05-19

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