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2017 GTC San Jose

S7487 - Infrastructure Differentiation in Satellite Imagery with Convolutional Neural Networks

Session Speakers
Session Description

We'll discuss efforts to leverage state-of-the art deep learning frameworks to the task of broad area search in satellite imagery. Differing infrastructure projects of very different purpose often look very similar in satellite imagery, and we'll explore the ability of deep learning frameworks to disentangle such classes. A similar complication applies to vehicles viewed from space, where object sizes are often only a couple dozen pixels.


Additional Session Information
Intermediate
Talk
Computer Vision and Machine Vision Deep Learning and AI Federal
Defense Government / National Labs
25 minutes
Session Schedule