JOURNAL ARTICLE

<title>Underwater electro-optical system for mine identification</title>

Michael P. Strand

Year: 1995 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2496 Pages: 487-497   Publisher: SPIE

Abstract

The Electro-Optic Identification (EOID) Sensors project is developing a Laser Visual Iidentification Sensor (LVIS) for identification of proud, partially buried, and moored mines in shallow water/very shallow water. LVIS will be deployed in small diameter underwater vehicles, including unmanned underwater vehicles (UUVs). Since the mission is mine identification, LVIS must: a) deliver high quality images in turbid coastal waters, while b) being compatible with the size and power constraints imposed by the intended deployment platforms. This project is sponsored by the Office of Naval Research, as a part of the AOA Mine Reconnaissance/Hunter program. High quality images which retain target detail and contrast are required for mine identification. LVIS will be designed to produce images of minelike contacts (MLC) of sufficient quality to allow identification while operating in turbid coastal waters from a small diameter UUV. Technology goals for the first generation LVIS are a) identification range up to 40 feet for proud, partially buried, and moored MLCs under coastal water conditions; b) day/night operation from a UUV operating at speeds up to 4 knots; c) power consumption less than 500 watts, with 275 watts being typical; and d) packaged within a 32-inch long portion of a 21-inch diameter vehicle section.

Keywords:
Underwater Identification (biology) Marine engineering Software deployment Environmental science Computer science Remote sensing Remotely operated underwater vehicle Geology Oceanography Engineering Artificial intelligence Operating system

Metrics

44
Cited By
1.18
FWCI (Field Weighted Citation Impact)
0
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Underwater Vehicles and Communication Systems
Physical Sciences →  Engineering →  Ocean Engineering
Water Quality Monitoring Technologies
Physical Sciences →  Environmental Science →  Water Science and Technology

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