Machine learning improves satellite imagery analysis of North Korean nuclear activity-Reference-Cited by-同舟云学术

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Machine learning improves satellite imagery analysis of North Korean nuclear activity

Published:2022-01-02 Issue:1 Volume:78 Page:26-37
ISSN:0096-3402
Container-title:Bulletin of the Atomic Scientists
language:en
Short-container-title:Bulletin of the Atomic Scientists

Author:

Park Sulgiye^ORCID,Puccioni Allison,Ewing Rodney C.^ORCID

Funder

Stanton Foundation

Publisher

Informa UK Limited

Subject

Political Science and International Relations

Link

https://www.tandfonline.com/doi/pdf/10.1080/00963402.2021.2014238

Reference17 articles.

1. Commercial Satellite Imagery Analysis for Countering Nuclear Proliferation

2. Dinville, A., and J. S. Bermudez Jr. 2016. “Checks and Balances: Thermal Imagery Analysis of Yongbyon.” 38North, October 25. Accessed 2 July 2021. https://www.38north.org/2016/10/yongbyon102516/

3. East West Center of the National Committee on North Korea. 2020. “China-DPRK Merchandise Trade Volume.” https://www.northkoreaintheworld.org/China-dprk/total-trade

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Change Detection Using Deep Learning Based Semantic Segmentation for Nuclear Activity Detection and Monitoring;KOREAN J REMOTE SENS;2022

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