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

Chan, Christopher Yan-Chak and Weigand, Matthias and Alnajar, Emran Alchikh and Taubenböck, Hannes (2022) Investigating the capability of UAV imagery for AI-assisted mapping of Refugee Camps in East Africa. In: Proceedings of the Academic Track at State of the Map 2022, pp. 45-48. Proceedings of the Academic Track at State of the Map 2022, 2022-08-19 - 2022-08-21, Florence, Italy. doi: 10.5281/zenodo.7004576.

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Item URL in elib:

https://elib.dlr.de/188218/

Document Type:

Conference or Workshop Item (Speech)

Title:

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

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Chan, Christopher Yan-Chak	Universität Würzburg	UNSPECIFIED	UNSPECIFIED
Weigand, Matthias	UNSPECIFIED	https://orcid.org/0000-0002-5553-4152	UNSPECIFIED
Alnajar, Emran Alchikh	Humanitarian OpenStreetMap Team	UNSPECIFIED	UNSPECIFIED
Taubenböck, Hannes	UNSPECIFIED	https://orcid.org/0000-0003-4360-9126	UNSPECIFIED

Date:

August 2022

Journal or Publication Title:

Proceedings of the Academic Track at State of the Map 2022

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

DOI:

10.5281/zenodo.7004576

Page Range:

pp. 45-48

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Minghini, Marco	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Liu, Pengyuan	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Li, Hao	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Grinberger, A. Yair	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Juhász, Levente	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Status:

Published

Keywords:

Refugee Camps, UAV, Semantic Segmentation, Building Detection, AI-assisted mapping

Event Title:

Proceedings of the Academic Track at State of the Map 2022

Event Location:

Florence, Italy

Event Type:

international Conference

Event Start Date:

19 August 2022

Event End Date:

21 August 2022

Organizer:

Openstreetmap Foundation

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Earth Observation

DLR - Research area:

Raumfahrt

DLR - Program:

R EO - Earth Observation

DLR - Research theme (Project):

R - Remote Sensing and Geo Research, R - Geoscientific remote sensing and GIS methods

Location:

Oberpfaffenhofen

Institutes and Institutions:

German Remote Sensing Data Center > Geo Risks and Civil Security

Deposited By:

Weigand, Matthias

Deposited On:

22 Sep 2022 10:15

Last Modified:

24 Apr 2024 20:49

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