Predicting Land Usage from Aerial Images with Deep Learning: A Case Study in the Valaisan Alps focusing on Class Imbalance
2021
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Title
Predicting Land Usage from Aerial Images with Deep Learning: A Case Study in the Valaisan Alps focusing on Class Imbalance
Author(s)
Zermatten, Valérie
Advisor(s)
Date
2021-02-05
Keywords
Record Appears in
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > IIE - Environmental Engineering Institute > ECEO - Environmental Computational Science and Earth Observation Laboratory
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > IIE - Environmental Engineering Institute > SSIE - Master's Projects in Environment
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > SSIE - Master's Projects in Environment
Student projects
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > IIE - Environmental Engineering Institute > SSIE - Master's Projects in Environment
Scientific production and competences > ENAC - School of Architecture, Civil and Environmental Engineering > SSIE - Master's Projects in Environment
Student projects
Work type
Master's Thesis
Record creation date
2022-07-12