Classification, identification, and modeling of unexploded ordnance in realistic environments
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. === Includes bibliographical references (p. 205-218). === Recovery of buried unexploded ordnance (UXO) is very slow and expensive due to the high false alarm rate created by clutter. E...
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Format: | Others |
Language: | English |
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Massachusetts Institute of Technology
2009
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Online Access: | http://hdl.handle.net/1721.1/44722 |