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|Title:||Wavelet Based UXO Detection||Contributor(s):||Hodgson, S (author); Dunstan, N (author); Murison, RD (author)||Publication Date:||2002||Handle Link:||https://hdl.handle.net/1959.11/686||Abstract:||The detection and classification of Unexploded Ordnance (UXO) is considered a multi-dimensional pattern recognition problem. Standard techniques in solving multi-dimensional detection and classification problems involve using large sets of templates or libraries. This paper shows that by using Wavelet Transformation a single library will allow a particular class of ordnance to be classified over a range of depths.||Publication Type:||Conference Publication||Conference Name:||Second IEEE International Conference on Data Mining (ICDM'02), Maebashi City, Japan, 9-12 December, 2002||Conference Details:||Second IEEE International Conference on Data Mining (ICDM'02), Maebashi City, Japan, 9-12 December, 2002||Source of Publication:||Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), p. 617-620||Publisher:||IEEE Computer Society||Place of Publication:||Los Alamitos, California||Field of Research (FOR):||010401 Applied Statistics||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.wi-lab.com/icdm02/||Statistics to Oct 2018:||Visitors: 203
|Appears in Collections:||Conference Publication|
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