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Investigating the capability of UAV imagery for AI-assisted mapping of Refugee Camps in East Africa

Domaine:

geospatialpeace and security

Type de record:

datasetsoftware
Créateur:
YanWeiAlnTau
Éditeur:
Zenodo
Hôte:avatar
Chan, C.Y., Weigand, M., Alnajar, E.A., & Taubenböck, H. (2022). Investigating the capability of UAV imagery in AI-assisted mapping of Refugee Camps in East Africa. In: Minghini, M., Liu, P., Li, H., Grinberger, A.Y., & Juhász, L. (Eds.). Proceedings of the Academic Track at State of the Map 2022, Florence, Italy, 19-21 August 2022. Available at zenodo.org

Tasks

computer vision

Tags

openstreetmapgisciencegeographic information scienceresearchmappingUAV

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcodeOpen Accessinfo:eu-repo/semantics/openAccess

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