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Shelter tents mapping by machine learning and satellite imagery
<!--HTML-->In order to provide urgent and life-saving resources to forcibly displaced people, spontaneous measurement of the number is essential. Instead of directly measuring this number, a popular approach is to estimate the number of shelter tents by satellite imagery. However, traditionall...
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Lenguaje: | eng |
Publicado: |
2023
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Acceso en línea: | http://cds.cern.ch/record/2868825 |
_version_ | 1780978246439927808 |
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author | Cheng, Hsiu-Chi |
author_facet | Cheng, Hsiu-Chi |
author_sort | Cheng, Hsiu-Chi |
collection | CERN |
description | <!--HTML-->In order to provide urgent and life-saving resources to forcibly displaced people, spontaneous measurement of the number is essential. Instead of directly measuring this number, a popular approach is to estimate the number of shelter tents by satellite imagery. However, traditionally it has to be done by manual labeling, which is labor- and time-consuming. In this project, we propose a solution: using machine learning techniques and satellite imagery to evaluate the number of shelter tents. |
id | cern-2868825 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2023 |
record_format | invenio |
spelling | cern-28688252023-08-29T21:19:58Zhttp://cds.cern.ch/record/2868825engCheng, Hsiu-ChiShelter tents mapping by machine learning and satellite imageryCERN openlab Summer Student Lightning Talks (2/2)CERN openlab Summer Student Programme 2023<!--HTML-->In order to provide urgent and life-saving resources to forcibly displaced people, spontaneous measurement of the number is essential. Instead of directly measuring this number, a popular approach is to estimate the number of shelter tents by satellite imagery. However, traditionally it has to be done by manual labeling, which is labor- and time-consuming. In this project, we propose a solution: using machine learning techniques and satellite imagery to evaluate the number of shelter tents.oai:cds.cern.ch:28688252023 |
spellingShingle | CERN openlab Summer Student Programme 2023 Cheng, Hsiu-Chi Shelter tents mapping by machine learning and satellite imagery |
title | Shelter tents mapping by machine learning and satellite imagery |
title_full | Shelter tents mapping by machine learning and satellite imagery |
title_fullStr | Shelter tents mapping by machine learning and satellite imagery |
title_full_unstemmed | Shelter tents mapping by machine learning and satellite imagery |
title_short | Shelter tents mapping by machine learning and satellite imagery |
title_sort | shelter tents mapping by machine learning and satellite imagery |
topic | CERN openlab Summer Student Programme 2023 |
url | http://cds.cern.ch/record/2868825 |
work_keys_str_mv | AT chenghsiuchi sheltertentsmappingbymachinelearningandsatelliteimagery AT chenghsiuchi cernopenlabsummerstudentlightningtalks22 |