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WLS filter for reducing atmospheric effects in spaceborne SAR tomography

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Abstract

A new approach was presented to eliminate the atmosphere-induced phase error utilizing only the single look complex (SLC) synthetic aperture radar (SAR) image set. This method exploited the space-invariance characteristic of phase error components contained in image pixels and estimates the phase error using the weighted least-squares (WLS) filter. Actually, this sort of method can be classified as autofocus algorithm which was generally applied in airborne SAR 2-D imaging to compensate the phase error introduced by airplane’s nonideal motion. Real data processing, which is relevant to Honda center and Angel stadium of Anaheim test-sites and acquired by Envisat-ASAR during the period from June 2004 to October 2007, was carried out to evaluate this WLS estimation algorithm. Experimental results show that the phase error estimated from WLS filter is very accurate and the focusing quality along NSR dimension is improved prominently via phase correction, which verifies the practicability of this new method.

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Authors and Affiliations

  1. School of Electronic Science and Engineering, National University of Defense Technology, Changsha, 410073, China

    Zhen Dong  (董臻), Xi-long Sun  (孙希龙), An-xi Yu  (余安喜), Zao-yu Sun  (孙造宇) & Dian-nong Liang  (梁甸农)

Authors
  1. Zhen Dong  (董臻)
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  2. Xi-long Sun  (孙希龙)
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  3. An-xi Yu  (余安喜)
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  4. Zao-yu Sun  (孙造宇)
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  5. Dian-nong Liang  (梁甸农)
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Correspondence to Zhen Dong  (董臻).

Additional information

Foundation item: Projects(41271459) supported by the National Natural Science Foundation of China

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Dong, Z., Sun, Xl., Yu, Ax. et al. WLS filter for reducing atmospheric effects in spaceborne SAR tomography. J. Cent. South Univ. 21, 3889–3895 (2014). https://doi.org/10.1007/s11771-014-2376-7

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  • DOI: https://doi.org/10.1007/s11771-014-2376-7

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