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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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Bibliografiske detaljer
Udgivet i:Front Artif Intell
Main Authors: 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
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Online adgang: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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