Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms

Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms

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 weig...

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Bibliographic Details
Main Authors: Linlin Ge, Eliathamby Ambikairajah, Vidhyasaharan Sethu
Format: Article
Language:English
Published: SpringerOpen 2008-05-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2008/378092
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spelling doaj-f25cb775b71d457c8ed7dccbb5671dd22020-11-24T21:21:53ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802008-05-01200810.1155/2008/378092Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR InterferogramsLinlin GeEliathamby AmbikairajahVidhyasaharan SethuThis 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.http://dx.doi.org/10.1155/2008/378092
collection DOAJ
language English
format Article
sources DOAJ
author Linlin Ge
Eliathamby Ambikairajah
Vidhyasaharan Sethu
spellingShingle Linlin Ge
Eliathamby Ambikairajah
Vidhyasaharan Sethu
Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
EURASIP Journal on Advances in Signal Processing
author_facet Linlin Ge
Eliathamby Ambikairajah
Vidhyasaharan Sethu
author_sort Linlin Ge
title Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
title_short Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
title_full Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
title_fullStr Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
title_full_unstemmed Selective Weighting of Undecimated Wavelet Coefficients for Noise Reduction in SAR Interferograms
title_sort selective weighting of undecimated wavelet coefficients for noise reduction in sar interferograms
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2008-05-01
description 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.
url http://dx.doi.org/10.1155/2008/378092
work_keys_str_mv AT linlinge selectiveweightingofundecimatedwaveletcoefficientsfornoisereductioninsarinterferograms
AT eliathambyambikairajah selectiveweightingofundecimatedwaveletcoefficientsfornoisereductioninsarinterferograms
AT vidhyasaharansethu selectiveweightingofundecimatedwaveletcoefficientsfornoisereductioninsarinterferograms
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