Employing a Mixture of Rayleigh and Inverse Gaussian Distributions as SAR Clutter Texture Model in MAP Estimation for Efficient Speckle Suppression

Employing a Mixture of Rayleigh and Inverse Gaussian Distributions as SAR Clutter Texture Model in MAP Estimation for Efficient Speckle Suppression

This article proposes a speckle suppression technique based on a binary mixture of the Rayleigh and the reciprocal of Gaussian (RIG) distributions. This model suitably characterizes the texture of synthetic aperture radar (SAR) return from regions with varying degrees of roughness and captures the m...

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Bibliographic Details
Main Authors: Dheeren Ku Mahapatra, Saurav Gupta, Biswajit Jena, Ravi Prakash Dwivedi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
SAR clutter amplitude
speckle
Rayleigh-inverse Gaussian mixture model
expectation-maximization
Online Access:https://ieeexplore.ieee.org/document/11002505/
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