Wavelet Based UXO Detection

S Hodgson; N Dunstan; RD Murison

Wavelet Based UXO Detection

S Hodgson, N Dunstan, RD Murison

School of Science & Technology

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	617-620
Publication status	Published - 2002
Event	ICDM 2002: 2002 IEEE International Conference on Data Mining - Maebashi City, Japan Duration: 9 Dec 2002 → 12 Dec 2002

Conference

Conference	ICDM 2002: 2002 IEEE International Conference on Data Mining
City	Maebashi City, Japan
Period	9/12/02 → 12/12/02

Keywords

Applied Statistics

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https://hdl.handle.net/1959.11/686

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title = "Wavelet Based UXO Detection",

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.",

keywords = "Applied Statistics",

author = "S Hodgson and N Dunstan and RD Murison",

year = "2002",

language = "English",

pages = "617--620",

note = "ICDM 2002: 2002 IEEE International Conference on Data Mining ; Conference date: 09-12-2002 Through 12-12-2002",

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TY - CONF

T1 - Wavelet Based UXO Detection

AU - Hodgson, S

AU - Dunstan, N

AU - Murison, RD

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Applied Statistics

UR - http://www.wi-lab.com/icdm02/

UR - https://www.scopus.com/pages/publications/78149292811

M3 - Paper

SP - 617

EP - 620

T2 - ICDM 2002: 2002 IEEE International Conference on Data Mining

Y2 - 9 December 2002 through 12 December 2002

ER -

Wavelet Based UXO Detection

Abstract

Conference

Keywords

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