Preligens
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://medium.com/earthcube-stories
https://medium.com/earthcube-stories/improving-the-description-of-satellite-images-using-gis-data-95d9f01ff980
Source
Are u French?
I keep looking at the hand movement and forgot to listen. It is weird.
The source from witch to attract satellite imagery is limited or limited to just, say one satellite?
To have a off-Nadir is sometimes better than Nadir, for instance knowing height on a building.
Also is there any consideration of privacy…
Multiple images for same trajectory to superimpose will give accuracy
Thanks Julie and Earthcube Team!
Le vocal est très bien réussi ainsi que la présentation. J'ai beaucoup aimé
Wonderful 👏
Holy mf raw audio
very nice video and the articulation is very good.
When deep learning, meets satellite imagery, what do you get ? Fires like Hawaii that can burn steel and take 90 degree corners like a street racer. Thank you I needed to see that to truly have the pieces snap into focus, no stupid puns or jokes at all. Serious as those fires.
Fun Fact: She's AI
Really good content, but please change the host/speaker
This reminds me of the way Johny Srouji presents a new Apple Silicon architecture in the Apple keynotes. Very precise, focused and polished.
النَّظِيرُ فِي عِلْمِ الْفَلَكِ : نُقْطَةٌ فِي السَّمَاءِ عَلَى خَطٍّ عَمُودِيٍّ مِنَ الْمُرَاقِبِ تَحْتَ قَدَمَيْهِ مُبَاشَرَةً
Nice Explanation, worth watching, very informative
Great Channel. Great Idea. Her accent sounds great for American Ears. Very attractive rhythm to listen too.
Great!
Which software can provide satelite digitization with AI?
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Deep learning seems like a perfect match for hyperspectral imaging.
Thank you for the video.
Somehow I’m a bit disappointed, but it’s my fault. From the title, I expected to hear how deep learning is complementing convolutional networks, but deep learning is mentioned just superficially. Maybe a next video?
Precise explanation. Thank you very much