Satellite image of vehicles observed at the Yongbyon rail station, near the Yongbyon nuclear complex. Image courtesy Airbus Pleiades/Orbital Insight
Machine learning improves satellite imagery analysis of North Korean nuclear activity
By Sulgiye Park, Allison Puccioni, Rodney C. Ewing, January 17, 2022
Satellite image of vehicles observed at the Yongbyon rail station, near the Yongbyon nuclear complex. Image courtesy Airbus Pleiades/Orbital Insight
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As the Russian invasion of Ukraine shows, nuclear threats are real, present, and dangerous
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Sulgiye Park
Sulgiye Park is a Stanton Nuclear Security Fellow at Stanford University’s Center for International Security and Cooperation (CISAC). Her research... Read More
Allison Puccioni
Allison Puccioni has been an imagery analyst for over 25 years. She is the founder of the Open Source Imagery Intelligence company Armillary Services... Read More
Rodney C. Ewing
Ewing is the Frank Stanton Professor in Nuclear Security in the Center for International Security and Cooperation in the Freeman Spogli Institute... Read More
