Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments.

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作者： Fedra,Trujillano ^[1] ; Gabriel,Jimenez ^[2] ; Edgar,Manrique ^[3] ; Najat F,Kahamba ^[4] ; Fredros,Okumu ^[4] ; Nombre,Apollinaire ^[5] ; Gabriel,Carrasco-Escobar ^[4] ; Brian,Barrett ^[5] ; Kimberly,Fornace ^[6]

作者单位： School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk. ^[1] School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK. Fedra.Trujillano@glasgow.ac.uk. ^[2] Sorbonne Université, Institute du Cerveau - ICM, CNRS, Inria, AP-HP, Paris, Inserm, France. ^[3] School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, Scotland, UK. ^[4] Environmental Health and Ecological Sciences Department, Ifakara Health Institute, P. O. Box 53, Ifakara, Tanzania. ^[5] Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso. ^[6] Health Innovation Laboratory, Institute of Tropical Medicine "Alexander von Humboldt", Universidad Peruana Cayetano Heredia, Lima, Peru. ^[7] School of Geographical & Earth Sciences, University of Glasgow, Glasgow, Scotland, UK. ^[8] Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore. ^[9]

关键词 Drone Mosquito-borne diseases Remote sensing.Segment anything model UAV

主题词人类(Humans);动物(Animals);气候变化(Climate Change);疟疾(Malaria);遥感技术(Remote Sensing Technology);地理信息系统(Geographic Information Systems);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1186/s12942-024-00371-w

PMID 38764024

发布时间 2024-05-22

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准确一般字义偏差语意偏离译文作用小提交