Edge-aware nonlinear diffusion-driven regularization model for despeckling synthetic aperture radar images

Edge-aware nonlinear diffusion-driven regularization model for despeckling synthetic aperture radar images

Abstract Speckle noise corrupts synthetic aperture radar (SAR) images and limits their applications in sensitive scientific and engineering fields. This challenge has attracted several scholars because of the wide demand of SAR images in forestry, oceanography, geology, glaciology, and topography. D...

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Bibliographic Details
Main Authors: Anthony Bua, Goodluck Kapyela, Libe Massawe, Baraka Maiseli
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Image restoration
Multiplicative noise
Noise removal
Regularization
Speckle
SAR
Online Access:https://doi.org/10.1186/s13640-023-00617-w

Internet

https://doi.org/10.1186/s13640-023-00617-w

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