Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images - Université de Rennes Accéder directement au contenu
Article Dans Une Revue IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Année : 2018
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hal-02135679 , version 1 (21-05-2019)

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Alexander Zemliachenko, Ruslan Kozhemiakin, Sergey Abramov, Vladimir Lukin, Benoit Vozel, et al.. Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (1), pp.257-270. ⟨10.1109/JSTARS.2017.2781906⟩. ⟨hal-02135679⟩
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