Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys

Visible and thermal images acquired from drones (unoccupied aircraft systems) have substantially improved animal monitoring. Combining complementary information from both image types provides a powerful approach for automating detection and classification of multiple animal species to augment drone...

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Detalles Bibliográficos
Autores principales: Krishnan, B. Santhana, Jones, Landon R., Elmore, Jared A., Samiappan, Sathishkumar, Evans, Kristine O., Pfeiffer, Morgan B., Blackwell, Bradley F., Iglay, Raymond B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300091/
https://www.ncbi.nlm.nih.gov/pubmed/37369669
http://dx.doi.org/10.1038/s41598-023-37295-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300091/
https://www.ncbi.nlm.nih.gov/pubmed/37369669
http://dx.doi.org/10.1038/s41598-023-37295-7

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