A Deep Neural Network Based on Prior-Driven and Structural Preserving for SAR Image Despeckling

Remarkable effectiveness has been demonstrated by deep neural networks in the despeckling task for synthetic aperture radar (SAR) images. However, blurring and loss of fine details can result from many despeckling models due to upsampling and mean-square-error (MSE) loss. Additionally, existing degr...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Cong Lin, Chenghao Qiu, Haoyu Jiang, Lilan Zou
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Deep image prior speckle filtering structural loss synthetic aperture radar (SAR)
Online Access:	https://ieeexplore.ieee.org/document/10173601/