Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/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 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/
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