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Proceedings Paper

Detection and classification of underwater targets in background noise acoustic daylight
Author(s): Gee-In Goo
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Paper Abstract

It has been reported that underwater target models, spheres and cylinders can be detected and classified in background acoustic noise. In this paper, the author presents his recent finding that underwater target is detectable in acoustic background noise in open waters. Using a resonance detection technique, G-Transform, the noise background of a number of AUTEC sample data files with mammal clicks were analyzed. From the noise backgrounds in these data files, a number of possible target signatures were observed. It suggests that real underwater targets may be detected and classified passively in background noise.

Paper Details

Date Published: 16 September 2003
PDF: 8 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.488370
Show Author Affiliations
Gee-In Goo, Morgan State Univ. (United States)
MicroTechnologies, Inc. (United States)

Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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