NDLI: Coherence-Based Underwater Target Detection From Multiple Disparate Sonar Platforms

Content Provider	IEEE Xplore Digital Library
Author	Tucker, J.D. Azimi-Sadjadi, M.R.
Copyright Year	1976
Abstract	This paper explores the use of multichannel coherence as a tool for detection of underwater targets from imagery captured from multiple disparate sonar systems. The use of multiple disparate sonars allows one to exploit a high-resolution sonar with good target definition while taking advantage of the clutter suppression abilities of a low-resolution broadband (BB) sonar coregistered over the same region to provide much better detection performance comparing to those of the single-sonar cases. In this paper, the standard Neyman-Pearson detector is extended to the dual disparate sonar case allowing target detection across two sensory channels simultaneously. A novel distributed detection system is also developed that exploits the use of multiple dual-sonar detectors for multiplatform target detection. Test results of the proposed detection methods are also presented on an underwater synthetic aperture sonar (SAS) imagery database containing data from three different imaging sonars operating at three different frequencies and resolutions. Test results illustrating the effectiveness of different coherent-based detection systems will be presented and benchmarked against those of two other detection methods in terms of probability of detection, false alarm rate, and the receiver operating characteristic (ROC) curve. Performance gains of about 23% in probability of detection were achieved over the benchmarked methods.
Sponsorship	IEEE Oceanic Engineering Society
Starting Page	37
Ending Page	51
Page Count	15
File Size	1151884
File Format	PDF
ISSN	03649059
Volume Number	36
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sonar detection Detectors Feature extraction Correlation Covariance matrix Matrix decomposition underwater target detection Binary hypothesis testing disparate sensor platforms two-channel coherence analysis
Content Type	Text
Resource Type	Article
Subject	Ocean Engineering Mechanical Engineering Electrical and Electronic Engineering

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