EU-Transformer: An Enhanced U-Shape Transformer via Texture Retention for SAR Image Denoising

Synthetic aperture radar (SAR) inherently suffers from speckle noise attributable to its distinct imaging mechanism, imposing significant challenges on the extraction of valid information from SAR images. Consequently, speckle suppression is essential in the processing of SAR images. Current deep le...

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Auteurs principaux:	Shuaiqi Liu, Shengye Wang, Yonglu Zhou, Qi Hu, Bing Li, Yudong Zhang
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2026-01-01
Collection:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sujets:	Convolutional neural network (CNN) speckle suppression synthetic aperture radar (SAR) texture retention transformer
Accès en ligne:	https://ieeexplore.ieee.org/document/11557139/
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