Unsupervised SAR Despeckling by Combining Online Speckle Generation and Unpaired Training

Unsupervised SAR Despeckling by Combining Online Speckle Generation and Unpaired Training

Speckle suppression is a crucial preliminary step for synthetic aperture radar (SAR) image processing. Supervised despeckling approaches trained on synthetic datasets usually perform poorly in practice due to the unavailability of clean SAR images. Besides, the spatial correlation of speckle is rare...

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Bibliographic Details
Main Authors: Can Wang, Rongyao Zheng, Jingzhen Zhu, Xingkun He, Xiwen Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
image despeckling
Siamese network
synthetic aperture radar (SAR)
unsupervised training
Online Access:https://ieeexplore.ieee.org/document/10294190/

Internet

https://ieeexplore.ieee.org/document/10294190/

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