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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Dades bibliogràfiques
Publicat a:Front Artif Intell
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2020
Matèries:
Artificial Intelligence
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7944145/
https://ncbi.nlm.nih.gov/pubmed/33733198
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2020.534696
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