ETD

Digital archive of theses discussed at the University of Pisa

 

Tesi etd-01112021-141414


Thesis type
Tesi di laurea magistrale
Author
AMOROSI, DARIO
email address
d.amorosi@studenti.unipi.it, amorosiunipi@libero.it
URN
etd-01112021-141414
Thesis title
Exploiting Generative Adversarial Networks for data augmentation: the European Space Agency PhiSat-1 mission case study
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
COMPUTER ENGINEERING
Supervisors
relatore Prof. Fanucci, Luca
relatore Prof. Bechini, Alessio
relatore Dott. Giuffrida, Gianluca
Keywords
  • New Space Economy
  • Tensorflow
  • ESA
  • PhiSat
  • Space
  • CNN
  • GAN
  • Python
  • Machine Learning
  • Dario Amorosi
  • earth observation
Graduation session start date
19/02/2021;
Consultabilità
Secretata d’ufficio
Release date
19/02/2091
Summary
File