Underwater target classification using canonical correlations

被引：14

作者：

Pezeshki, A ^{[1
]}

Azimi-Sadjadi, MR ^{[1
]}

Scharf, LL ^{[1
]}

Robinson, M ^{[1
]}

机构：

[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA

来源：

OCEANS 2003 MTS/IEEE: CELEBRATING THE PAST...TEAMING TOWARD THE FUTURE | 2003年

关键词：

D O I：

10.1109/OCEANS.2003.178180

中图分类号：

P7 [海洋学];

学科分类号：

0707 ;

摘要：

A feature extraction method for underwater target classification is developed that exploits the linear dependence (coherence) between two sonar returns. A canonical coordinate decomposition is applied to resolve two consecutive acoustic backscattered signals into their dominant canonical coordinates. The corresponding canonical correlations are selected as features for classifying mine-like from non-mine-like objects. Test results are based on a subset of a wideband data set that has been collected at the Applied Research Lab (ARL), University of Texas (UT)-Austin. This subset includes returns from different mine-like and non-mine-like objects at several aspect angles in two different bottom conditions. The test results demonstrate the potential of the canonical correlation-based feature extraction for underwater target classification in difficult bottom conditions.

引用

页码：1906 / 1911

页数：6

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