SAR Image Despeckling Based on Denoising Diffusion Probabilistic Model and Swin Transformer

SAR Image Despeckling Based on Denoising Diffusion Probabilistic Model and Swin Transformer

The speckle noise inherent in synthetic aperture radar (SAR) imaging has long posed a challenge for SAR data processing, significantly affecting image interpretation and recognition. Recently, deep learning-based SAR speckle removal algorithms have shown promising results. However, most existing alg...

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Bibliographic Details
Main Authors: Yucheng Pan, Liheng Zhong, Jingdong Chen, Heping Li, Xianlong Zhang, Bin Pan
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
speckle noise suppression
denoising diffusion probalistic model
swin-transformer
Online Access:https://www.mdpi.com/2072-4292/16/17/3222

Internet

https://www.mdpi.com/2072-4292/16/17/3222

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