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When deep learning meets satellite imagery

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Published on 12/17/22 / In How-to & Learning

When deep learning meets satellite imagery

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A handy guide to understanding the specificities and challenges of satellite images when using deep learning.

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CREDITS

Speaker - Julie Imbert

Script - Julie Imbert and Ségolène Husson
With the participation of
Renaud, Tugdual, Thomas and all the Earthcube team

Filmmaker, editing & motion design - Julien Mascheroni

ILLUSTRATIONS

Intellectual property
Earthcube, proprietary detections

Satellite images
fMoW dataset, Functional Map of the World, CVPR, Gordon Christie, Neil Fendley, James Wilson, and Ryan Mukherjee, 2018
Maxar

Metadata
Maxar

Aerial image
USGS

ARTICLES
Sara Sabour and Nicholas Frosst and Geoffrey E Hinton, Dynamic Routing Between Capsules,2017 arXiv
Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, Gradient-based learning applied to document recognition, in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.

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https://youtu.be/Y-jDp03jrhM

https://www.earthcube.eu

https://medium.com/earthcube-stories

https://medium.com/earthcube-stories/improving-the-description-of-satellite-images-using-gis-data-95d9f01ff980

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