Deep Learning for Understanding Satellite Imagery: An Experimental Survey

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in computer vision made through deep learning paved the way toward a...

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Detalles Bibliográficos
Autores principales: Mohanty, Sharada Prasanna, Czakon, Jakub, Kaczmarek, Kamil A., Pyskir, Andrzej, Tarasiewicz, Piotr, Kunwar, Saket, Rohrbach, Janick, Luo, Dave, Prasad, Manjunath, Fleer, Sascha, Göpfert, Jan Philip, Tandon, Akshat, Mollard, Guillaume, Rayaprolu, Nikhil, Salathe, Marcel, Schilling, Malte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944145/
https://www.ncbi.nlm.nih.gov/pubmed/33733198
http://dx.doi.org/10.3389/frai.2020.534696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7944145/
https://www.ncbi.nlm.nih.gov/pubmed/33733198
http://dx.doi.org/10.3389/frai.2020.534696

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