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电子学报 ›› 2012, Vol. 40 ›› Issue (3): 453-458.DOI: 10.3969/j.issn.0372-2112.2012.03.007

• 学术论文 • 上一篇    下一篇

基于相关系数加权观测矢量的InSAR干涉相位估计方法

李海1, 吴仁彪1, 廖桂生2   

  1. 1. 中国民航大学智能信号与图像处理天津市重点实验室,天津 300300;2. 西安电子科技大学雷达信号处理重点实验室,陕西西安 710071
  • 收稿日期:2009-11-06 修回日期:2011-10-29 出版日期:2012-03-25
    • 基金资助:
    • 国家自然科学基金项目 (No.61071194,No.60979002,No.60736009); 中国民航大学基金项目 (No.2011KYE06,No.ZXH2009D018)

Estimation of Interferometric Phase for InSAR Based on Correlation Coefficient Weight Data Vector

LI Hai1, WU Ren-biao1, LIAO Gui-sheng2   

  1. 1. Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China;2. National Lab of Radar Signal Processing,Xidian University,Xi'an,Shannxi 710071,China
  • Received:2009-11-06 Revised:2011-10-29 Online:2012-03-25 Published:2012-03-25

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摘要： 提出了一种基于相关系数加权观测矢量的InSAR干涉相位估计方法.该方法采用联合单像素模型,构造相关系数加权观测矢量,同时利用相邻像素的信息,因此具有自适应图像配准和降低相位噪声功能,因而可以在SAR图像配准精度很差(可以允许达到一个分辨单元)的条件下准确地估计相应像素间的干涉相位.仿真数据的处理结果证明了此方法的有效性.

关键词: 干涉合成孔径雷达, 配准误差, 干涉相位, 联合单像素, 相关系数加权

Abstract: We propose a method to estimate the InSAR (synthetic aperture radar interferometry) interferometric phase based on the model of correlation coefficient weight data vector.In the method,the idea of correlation weight joint single pixel is introduced.Benefiting from the correlation coefficient weight data vector,the method can take advantage of the coherence information of neighboring pixel pairs to auto-coregister the SAR images and reduce the interferometric phase noise simultaneously.Theoretical analysis and computer simulation results show that the method can provide accurate estimate of the terrain interferometric phase (interferogram) even if the coregistration error reaches one pixel.The effectiveness of the method is verified via simulated data.

Key words: interferometric synthetic aperture radar (InSAR), coregistration error, interferometric phase, joint single pixel, correlation coefficient weight

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