GEOSPATIAL IMAGE MINING FOR NUCLEAR PROLIFERATION DETECTION: CHALLENGES AND NEW OPPORTUNITIES

被引:19
|
作者
Vatsavai, Ranga Raju [1 ]
Bhaduri, Budhendra [1 ]
Cheriyadat, Anil [1 ]
Arrowood, Lloyd [2 ]
Bright, Eddie [1 ]
Gleason, Shaun [1 ]
Diegert, Carl [5 ]
Katsaggelos, Aggelos [7 ]
Pappas, Thrasos [7 ]
Porter, Reid
Bollinger, Jim [3 ]
Chen, Barry [4 ]
Hohimer, Ryan [6 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Y12 Natl Secur Complex, Oak Ridge, TN 37831 USA
[3] Savannah River Natl Lab, Aiken, SC 29808 USA
[4] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA
[5] Sandia Natl Labs, Albuquerque, NM 87123 USA
[6] Pacific Northwest Natl Lab, Richland, WA 99354 USA
[7] Argonne Natl Lab, Argonne, IL 60439 USA
关键词
Nuclear proliferation; low-level features; semantic classification; geospatial ontology; SALIENCY;
D O I
10.1109/IGARSS.2010.5649811
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
With increasing understanding and availability of nuclear technologies, and increasing persuasion of nuclear technologies by several new countries, it is increasingly becoming important to monitor the nuclear proliferation activities. There is a great need for developing technologies to automatically or semi-automatically detect nuclear proliferation activities using remote sensing. Images acquired from earth observation satellites is an important source of information in detecting proliferation activities. High-resolution remote sensing images are highly useful in verifying the correctness, as well as completeness of any nuclear program. DOE national laboratories are interested in detecting nuclear proliferation by developing advanced geospatial image mining algorithms. In this paper we describe the current understanding of geospatial image mining techniques and enumerate key gaps and identify future research needs in the context of nuclear proliferation.
引用
收藏
页码:48 / 51
页数:4
相关论文
共 50 条
  • [11] GEOSPATIAL POLICY IN INDIA: IMPACT, OPPORTUNITIES AND CHALLENGES IN EDUCATION
    Chaudhari, Sangita
    Bharambe, Ujwala
    Bhangale, Ujwala
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 2293 - 2296
  • [12] Shaping the Future of Nuclear Deterrence: Adapting to New Challenges and Opportunities
    Roberts, Guy B.
    PEACE REVIEW-A JOURNAL OF SOCIAL JUSTICE, 2024, 36 (04): : 674 - 691
  • [13] Multitemporal Data Mining: From Biomass Monitoring to Nuclear Proliferation Detection
    Vatsavai, Ranga Raju
    2015 8TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTI-TEMP), 2015,
  • [14] Challenges and opportunities for nuclear cardiology
    Marcelo F. Di Carli
    Journal of Nuclear Cardiology, 2019, 26 : 1043 - 1046
  • [15] Challenges and opportunities for nuclear cardiology
    Di Carli, Marcelo F.
    JOURNAL OF NUCLEAR CARDIOLOGY, 2019, 26 (04) : 1043 - 1046
  • [16] Mining bioprocess data: opportunities and challenges
    Charaniya, Salim
    Hu, Wei-Shou
    Karypis, George
    TRENDS IN BIOTECHNOLOGY, 2008, 26 (12) : 690 - 699
  • [17] Challenges and Opportunities in Mining Neuroscience Data
    Akil, Huda
    Martone, Maryann E.
    Van Essen, David C.
    SCIENCE, 2011, 331 (6018) : 708 - 712
  • [18] Pattern Mining: Current Challenges and Opportunities
    Fournier-Viger, Philippe
    Gan, Wensheng
    Wu, Youxi
    Nouioua, Mourad
    Song, Wei
    Truong, Tin
    Duong, Hai
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS. DASFAA 2022 INTERNATIONAL WORKSHOPS, 2022, 13248 : 34 - 49
  • [19] Mining Social Media: Challenges and Opportunities
    Jones, Isaac
    Liu, Huan
    2013 INTERNATIONAL CONFERENCE ON SOCIAL INTELLIGENCE AND TECHNOLOGY (SOCIETY), 2013, : 90 - 99
  • [20] Mining the Jazz Repository: Challenges and Opportunities
    Herzig, Kim
    Zeller, Andreas
    2009 6TH IEEE INTERNATIONAL WORKING CONFERENCE ON MINING SOFTWARE REPOSITORIES, 2009, : 159 - 162