基于小波的未爆弹药检测

2002 IEEE International Conference on Data Mining, 2002. Proceedings. Pub Date : 2002-12-09 DOI:10.1109/ICDM.2002.1184012

S. Hodgson, N. Dunstan, R. Murison

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引用次数: 1

摘要

未爆弹药的探测与分类是一个多维模式识别问题。解决多维检测和分类问题的标准技术涉及使用大量模板或库。本文表明，通过使用小波变换，单个库将允许在一定深度范围内对某一类弹药进行分类。

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Wavelet based UXO detection

The detection and classification of unexploded ordnance (UXO) is considered a multidimensional pattern recognition problem. Standard techniques in solving multidimensional 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.

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2002 IEEE International Conference on Data Mining, 2002. Proceedings.

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