TY - JOUR
T1 - Speckle suppression of SAR images based on wavelet singularity detection
AU - Zhang, Gong
AU - Tang, Wallace K.S.
AU - Chen, Guanrong
PY - 2007/8
Y1 - 2007/8
N2 - A new algorithm for speckle suppression in synthetic aperture radar (SAR) images based on wavelet singularity detection is presented. The wavelet coefficients of the SAR images that correspond to the regular parts of the signal are first selected by Mallat's wavelet transform modulus maxima (WTMM) approach. Then, the singularity of the residuary wavelet coefficients is detected in every scale by using the Lipschitz-Hölder exponents, which represents the singularity strength of noise. Speckles can then be suppressed by a weighted averaging filter with coefficients determined by the Lipschitz-Hölder exponents. The final image is formed by the fusion of the selected thematic signals and the Lipschitz-Hölder exponent based weighted averaging parts. As demonstrated by the simulations, this approach can improve the denoising effect, in terms of speckle suppression, edge preservation, equivalent number of look (ENL), and radiometric resolution, as well as the visually-natural images generated. Copyright ©2007 Watam Press.
AB - A new algorithm for speckle suppression in synthetic aperture radar (SAR) images based on wavelet singularity detection is presented. The wavelet coefficients of the SAR images that correspond to the regular parts of the signal are first selected by Mallat's wavelet transform modulus maxima (WTMM) approach. Then, the singularity of the residuary wavelet coefficients is detected in every scale by using the Lipschitz-Hölder exponents, which represents the singularity strength of noise. Speckles can then be suppressed by a weighted averaging filter with coefficients determined by the Lipschitz-Hölder exponents. The final image is formed by the fusion of the selected thematic signals and the Lipschitz-Hölder exponent based weighted averaging parts. As demonstrated by the simulations, this approach can improve the denoising effect, in terms of speckle suppression, edge preservation, equivalent number of look (ENL), and radiometric resolution, as well as the visually-natural images generated. Copyright ©2007 Watam Press.
KW - Land application
KW - Lipschitz-Hölder exponent
KW - SAR image
KW - Singularity
KW - Speckle reduction
KW - WTMM
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M3 - RGC 21 - Publication in refereed journal
SN - 1492-8760
VL - 14
SP - 593
EP - 601
JO - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
JF - Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms
IS - 4
ER -