As if by magic: self-supervised training of deep despeckling networks with MERLIN - Equipe Image, Modélisation, Analyse, GEométrie, Synthèse Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Geoscience and Remote Sensing Année : 2022

Dates et versions

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

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  • HAL Id : ujm-03270455 , version 2

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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-03270455v2⟩
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