Deep Learning in Remote Sensing: Challenges, Solutions, and What Makes Us Different

Wednesday, September 2, 2020
Time: 12-1:15p EDT

Moderator: Rose Rustowicz – @roserustowicz
Panelists:
Ilke Demir – @ilkedemir
Manuel Gonzalez-Rivero
Dalton Lunga – @DaltonLunga
Jake Shermeyer – @JakeShermeyer
Sherrie Wang – @sherwang
Sponsored by GRSS

Video
Follow-up: Is there value is using ensemble models?

Join us for a fireside chat focused on the use of deep learning in remote sensing, a domain quite different from the natural image domain that deep learning algorithms are often crafted for. We will dive into how remote sensing and computer scientists have navigated this field within the remote sensing domain, what challenges they’ve encountered along the way, and how they’ve dealt with or overcome them. We’ll be joined by speakers Ilke Demir (Intel), Manuel Gonzalez-Rivero (Maxar), Dalton Lunga (Oak Ridge National Laboratory), Jake Shermeyer (IQT CosmiQ Works), and Sherrie Wang (Stanford).

Video
Follow-up: Is there value is using ensemble models?

Manuel Gonzalez-Rivero,
Maxar Technologies
Sherrie Wang,
Stanford University
Ilke Demir,
Intel Corporation
Dalton Lunga,
Oak Ridge National Laboratory
Jake Shermeyer,
IQT CosmiQ Works
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