Skip to content

A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

Notifications You must be signed in to change notification settings

tanodino/MultiResoLCC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

MultiResoLCC

A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

The source code to create the Deep Learning model described in [1]

[1] Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson: MRFusion: A Deep Learning architecture to fuse PAN and MS imagery for land cover mapping. CoRR abs/1806.11452 (2018) (https://arxiv.org/abs/1806.11452)

About

A two-branch Deep Learning architecture for land cover classification of PAN and MS imagery

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages