RaVÆn: unsupervised change detection of extreme events using ML on-board satellites

Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data analysis is performed on the ground after being transferred—downlinked—to a ground station. Constraints on the downlink capabilities, both in terms of data volume and ti...

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Detalles Bibliográficos
Autores principales: Růžička, Vít, Vaughan, Anna, De Martini, Daniele, Fulton, James, Salvatelli, Valentina, Bridges, Chris, Mateo-Garcia, Gonzalo, Zantedeschi, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547912/
https://www.ncbi.nlm.nih.gov/pubmed/36209278
http://dx.doi.org/10.1038/s41598-022-19437-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547912/
https://www.ncbi.nlm.nih.gov/pubmed/36209278
http://dx.doi.org/10.1038/s41598-022-19437-5

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