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https://hdl.handle.net/1959.11/686| 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 Details: | ICDM 2002: 2002 IEEE International Conference on Data Mining, Maebashi City, Japan, 9th - 12th December, 2002 | Source of Publication: | Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM'02), p. 617-620 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Place of Publication: | Los Alamitos, United States of America | Fields of Research (FoR) 2008: | 010401 Applied Statistics | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.wi-lab.com/icdm02/ |
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| Appears in Collections: | Conference Publication |
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