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Journal of Applied Remote Sensing

Using two coefficients modeling of nonsubsampled Shearlet transform for despeckling
Author(s): Saeed Jafari; Sedigheh Ghofrani
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Paper 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

Paper Details

Date Published: 19 January 2016
PDF: 14 pages
J. Appl. Rem. Sens. 10(1) 015002 doi: 10.1117/1.JRS.10.015002
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Saeed Jafari, Islamic Azad Univ. (Iran, Islamic Republic of)
Sedigheh Ghofrani, Islamic Azad Univ. (Iran, Islamic Republic of)


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