Algorithm fusion for the detection and classification of sea mines in the very shallow water region using side-scan sonar imagery

Gerald J. Dobeck

doi:10.1117/12.396262

22 August 2000 Algorithm fusion for the detection and classification of sea mines in the very shallow water region using side-scan sonar imagery

Gerald J. Dobeck

Author Affiliations +

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396262
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The very shallow water regions contain much mine-like clutter, which cause high false alarm rates in minehunting sonar systems. This paper present a method of reducing false alarms by the fusion of multiple detection and classification algorithms. The algorithm fusion method is based on the well-known Fisher Discrimination.

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Gerald J. Dobeck "Algorithm fusion for the detection and classification of sea mines in the very shallow water region using side-scan sonar imagery", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396262

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