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Talk10 min

Shelter tents mapping by machine learning and satellite imagery

Hsiu-Chi Cheng · CERN

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About

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..

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The talk

  1. Shelter tents mapping by machine learning and satellite imagery 2023-08-16 · 10 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN openlab Summer Student Programme 2023
Speaker
Hsiu-Chi Cheng
Year
2023
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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