Podrobnosti studentského projektu

Téma:Super-resolution for satellite imagery using generative adversial networks
Katedra:Katedra kybernetiky
Vedoucí:Ing. Michal Reinštein Ph.D.
Vypsáno jako:DP,BP,PMI,PRO
Popis:The aim is to design, implement, and experimentally evaluate deep neural network architecture for solving the problem of increasing resolution (super-resolution) of satellite imagery using Generative Adversial Networks. The contribution will be focused on evaluating the reliability of generated high frequency content that is unobservable in the imagery otherwise. Main tools will be: python and tensorflow.
Vypsáno dne:14.05.2018
Za obsah zodpovídá: Petr Pošík