Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Journal of applied remote sensing Année : 2015

Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters

Dates et versions

hal-02476752 , version 1 (12-02-2020)

Identifiants

Citer

Alexander Zemliachenko, Sergey Abramov, Vladimir Lukin, Benoit Vozel, Kacem Chehdi. Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters. Journal of applied remote sensing, 2015, 9 (1), pp.095066. ⟨10.1117/1.JRS.9.095066⟩. ⟨hal-02476752⟩
12 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More