Dataset of thermographic images for the detection of buried landmines

This article presents a dataset of thermographic images of terrain with antipersonnel mines to identify the presence or absence of these artifacts using machine learning and artificial vision techniques. The dataset has 2700 thermographic images acquired at different heights, using a Zenmuse XT infr...

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Detalles Bibliográficos
Autores principales: Tenorio-Tamayo, Hermes Alejandro, Forero-Ramírez, Juan Camilo, García, Bryan, Loaiza-Correa, Humberto, Restrepo-Girón, Andrés David, Nope-Rodríguez, Sandra Esperanza, Barandica-López, Asfur, Buitrago-Molina, José Tomás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403701/
https://www.ncbi.nlm.nih.gov/pubmed/37547167
http://dx.doi.org/10.1016/j.dib.2023.109443

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403701/
https://www.ncbi.nlm.nih.gov/pubmed/37547167
http://dx.doi.org/10.1016/j.dib.2023.109443

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