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A wavelet domain detail compensation filtering technique for InSAR interferograms

机译:InSAR干涉图的小波域细节补偿滤波技术。

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摘要

The quality of interferogram filtering affects the accuracy of interferometric synthetic aperture radar (InSAR) applications. This article presents a new wavelet domain filtering method for phase noise reduction in an InSAR interferogram. The method first transforms the real and imagery parts of the original interferogram into the wavelet domain using the stationary wavelet transform (SWT). Then the coefficients for each sub-band are filtered with detail compensation. Finally, the wavelet coefficients are reconstructed in the space domain by the inverse SWT. The results show that the proposed method can suppress the speckle effectively, maintain details of the interferogram well, and greatly reduce the number of residues.
机译:干涉图滤波的质量会影响干涉合成孔径雷达(InSAR)应用的准确性。本文提出了一种新的小波域滤波方法,用于减少InSAR干涉图中的相位噪声。该方法首先使用平稳小波变换(SWT)将原始干涉图的实部和图像部分转换为小波域。然后,通过细节补偿对每个子带的系数进行滤波。最后,通过逆SWT在空间域中重构小波系数。结果表明,该方法能够有效抑制斑点,很好地保持了干涉图的细节,并大大减少了残留物的数量。

著录项

  • 来源
    《International journal of remote sensing》 |2011年第23期|p.7985-7995|共11页
  • 作者单位

    Institute of Satellite Navigation and Spatial Information Systems, Hohai University, Nanjing, Jiangsu 210098, China;

    Institute of Satellite Navigation and Spatial Information Systems, Hohai University, Nanjing, Jiangsu 210098, China;

    Institute of Satellite Navigation and Spatial Information Systems, Hohai University, Nanjing, Jiangsu 210098, China,Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada, N2L 3G1;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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