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

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2022 Germany English Publisher:Zenodo
Authors: Chan, Christopher Yan-Chak; Weigand, Matthias; Alnajar, Emran Alchikh; Taubenböck, Hannes;

doi: 10.5281/zenodo.7004575 , 10.5281/zenodo.7004576

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

Abstract

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 https://zenodo.org/communities/sotm-22

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Germany
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Keywords

AI-assisted mapping, giscience, geographic information science, research, Refugee Camps, UAV, Semantic Segmentation, mapping, Building Detection, openstreetmap

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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