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EURASIP Journal on Advances in Signal Processing
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Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms

EURASIP Journal on Advances in Signal Processing volume 2008, Article number: 378092 (2008) Cite this article

Abstract

This paper describes a technique for noise reduction in synthetic aperture radar interferometry. The noisy interferogram is decomposed using undecimated wavelet transform and the coefficients are weighted. A novel method for computing the weights for each subband, based on an estimate of the relative noise content in them, is presented with a median filter used as the noise estimator. The proposed technique is not optimised for any specific signal or noise models. Results show that this technique provides an improvement of around 15% over the conventional boxcar filter in terms of estimated height error of a digital elevation model constructed from the filtered interferogram.

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Authors and Affiliations

  1. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, 2052, Australia

    Vidhyasaharan Sethu & Eliathamby Ambikairajah

  2. School of Surveying and Spatial Information Systems, The University of New South Wales, Sydney, NSW, 2052, Australia

    Linlin Ge

Authors
  1. Vidhyasaharan Sethu
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  2. Eliathamby Ambikairajah
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  3. Linlin Ge
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Correspondence to Vidhyasaharan Sethu.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Sethu, V., Ambikairajah, E. & Ge, L. Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms. EURASIP J. Adv. Signal Process. 2008, 378092 (2008). https://doi.org/10.1155/2008/378092

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  • DOI: https://doi.org/10.1155/2008/378092

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