As if by magic: self-supervised training of deep despeckling networks with MERLIN - Université Jean-Monnet-Saint-Étienne
Journal Articles IEEE Transactions on Geoscience and Remote Sensing Year : 2022

As if by magic: self-supervised training of deep despeckling networks with MERLIN

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Signal and Image processing
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Loïc Denis  : Connect in order to contact the contributor

https://ujm.hal.science/ujm-03270455

Submitted on : Thursday, June 24, 2021-5:44:00 PM

Last modification on : Thursday, October 3, 2024-12:30:04 PM

Long-term archiving on : Saturday, September 25, 2021-6:50:31 PM

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Dates and versions

ujm-03270455 , version 1 (24-06-2021)
ujm-03270455 , version 2 (14-03-2022)

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  • HAL Id : ujm-03270455 , version 1

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Emanuele Dalsasso, Loïc Denis, Florence Tupin. As if by magic: self-supervised training of deep despeckling networks with MERLIN. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60. ⟨ujm-03270455v1⟩

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