19 January 2016 Using two coefficients modeling of nonsubsampled Shearlet transform for despeckling
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J. of Applied Remote Sensing, 10(1), 015002 (2016). doi:10.1117/1.JRS.10.015002
Abstract
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise. Two approaches based on modeling the nonsubsampled Shearlet transform (NSST) coefficients are presented. Two-sided generalized Gamma distribution and normal inverse Gaussian probability density function have been used to model the statistics of NSST coefficients. Bayesian maximum
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Saeed Jafari, Sedigheh Ghofrani, "Using two coefficients modeling of nonsubsampled Shearlet transform for despeckling," Journal of Applied Remote Sensing 10(1), 015002 (19 January 2016). https://doi.org/10.1117/1.JRS.10.015002
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