DocumentCode :
3305207
Title :
Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities
Author :
Vatsavai, Ranga Raju ; Bhaduri, Budhendra ; Cheriyadat, Anil ; Arrowood, Lloyd ; Bright, Eddie ; Gleason, Shaun ; Diegert, Carl ; Katsaggelos, Aggelos ; Pappas, Thrasos ; Porter, Reid ; Bollinger, Jim ; Chen, Barry ; Hohimer, Ryan
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge, TN, USA
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
48
Lastpage :
51
Abstract :
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.
Keywords :
data acquisition; data mining; geophysical image processing; geophysical techniques; nuclear engineering; remote sensing; Earth observation satellites; geospatial image mining; image acquisition; nuclear proliferation activity monitoring; nuclear proliferation detection; nuclear technology; remote sensing; Data mining; Feature extraction; Geospatial analysis; Laboratories; Ontologies; Semantics; USA Councils; Nuclear proliferation; geospatial ontology; low-level features; semantic classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5649811
Filename :
5649811
Link To Document :
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