Title :
A Data Mining Framework for Monitoring Nuclear Facilities
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
Nuclear proliferation is a major national security concern for many countries, especially to the United States. With more 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. For the past three years, we have been developing data mining algorithms to semantically annotate nuclear facilities and identify changes in man made structures using very high resolution images. In this paper, we summarize the recent progress and allude the audience to new opportunities.
Keywords :
computerised monitoring; data mining; geophysical image processing; image resolution; national security; nuclear power stations; United States; data mining algorithms; data mining framework; national security concern; nuclear facility monitoring; nuclear proliferation activities; nuclear technologies; very high resolution images; Coal; Conferences; Data mining; Image resolution; Monitoring; Satellites; Semantics; Nuclear proliferation monitoring; probabilistic change detection; semantic annotation;
Conference_Titel :
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-5164-5
DOI :
10.1109/ICDMW.2012.77