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
Machine learning improves satellite imagery analysis of North Korean nuclear activity
By Sulgiye Park, Allison Puccioni, Rodney C. Ewing | January 17, 2022
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Sulgiye Park
Sulgiye Park is a senior scientist with the Global Security Program at the Union of Concerned Scientists. Park holds a PhD in Geological Sciences ... 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
Rodney C. Ewing (1946-2024) was the Frank Stanton Professor in Nuclear Security and Co-Director of the Center for International Security and ... Read More
