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http://dx.doi.org/10.6109/jkiice.2012.16.9.1878

Underwater Target Analysis Using Canonical Correlation Analysis  

Seok, Jong-Won (창원대학교 정보통신공학과)
Kim, Tae-Hwan (경북대학교 전자전기컴퓨터학부)
Bae, Keun-Sung (경북대학교 전자전기컴퓨터학부)
Abstract
Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. And, various signal processing techniques have been studied to extract feature vectors which is less sensitive to the location of the receiver. In this paper, we analyzed the characteristics of synthesized underwater objects using canonical correlation analysis method which is relatively less sensitive to the location of receiver. Canonical correlation analysis is applied to two consecutive backscattered sonar returns at different aspect angles to analyze the correlation characteristics in multi-aspect environment.
Keywords
Canonical Correlation Analysis; Multiaspect Sonar; Underwater Target; Target Recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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