Aided target recognition processing of MUDSS sonar data

Brian Lau; Tien-Hsin Chao

doi:10.1117/12.324194

4 September 1998 Aided target recognition processing of MUDSS sonar data

Brian Lau, Tien-Hsin Chao

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324194
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

The Mobile Underwater Debris Survey System (MUDSS) is a collaborative effort by the Navy and the Jet Propulsion Lab to demonstrate multi-sensor, real-time, survey of underwater sites for ordnance and explosive waste (OEW). We describe the sonar processing algorithm, a novel target recognition algorithm incorporating wavelets, morphological image processing, expansion by Hermite polynomials, and neural networks. This algorithm has found all planted targets in MUDSS tests and has achieved spectacular success upon another Coastal Systems Station (CSS) sonar image database.

Citation Download Citation

Brian Lau and Tien-Hsin Chao "Aided target recognition processing of MUDSS sonar data", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324194

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