@inproceedings{1f33b78875bf4184b108519af8b5762f,
title = "Geospatial image mining for nuclear proliferation detection: Challenges and new opportunities",
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 = "Geospatial ontology, Low-level features, Nuclear proliferation, Semantic classification",
author = "Vatsavai, {Ranga Raju} and Budhendra Bhaduri and Anil Cheriyadat and Lloyd Arrowood and Eddie Bright and Shaun Gleason and Carl Diegert and Aggelos Katsaggelos and Thrasos Pappas and Reid Porter and Jim Bollinger and Barry Chen and Ryan Hohimer",
year = "2010",
doi = "10.1109/IGARSS.2010.5649811",
language = "English (US)",
isbn = "9781424495658",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "48--51",
booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
address = "United States",
note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",
}