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Proceedings Paper

Laser line scan performance prediction
Author(s): Kevin L. Mahoney; Oscar Schofield; John Kerfoot; Tom Giddings; Joe Shirron; Mike Twardowski
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Paper Abstract

The effectiveness of sensors that use optical measurements for the laser detection and identification of subsurface mines is directly related to water clarity. The primary objective of the work presented here was to use the optical data collected by UUV (Slocum Glider) surveys of an operational areas to estimate the performance of an electro-optical identification (EOID) Laser Line Scan (LLS) system during RIMPAC 06, an international naval exercise off the coast of Hawaii. Measurements of optical backscattering and beam attenuation were made with a Wet Labs, Inc. Scattering Absorption Meter (SAM), mounted on a Rutgers University/Webb Research Slocum glider. The optical data universally indicated extremely clear water in the operational area, except very close to shore. The beam-c values from the SAM sensor were integrated to three attenuation lengths to provide an estimate of how well the LLS would perform in detecting and identifying mines in the operational areas. Additionally, the processed in situ optical data served as near-real-time input to the Electro-Optic Detection Simulator, ver. 3 (EODES-3; Metron, Inc.) model for EOID performance prediction. Both methods of predicting LLS performance suggested a high probability of detection and probability of identification. These predictions were validated by the actual performance of the LLS as the EOID system yielded imagery from which reliable mine identification could be made. Future plans include repeating this work in more optically challenging water types to demonstrate the utility of pre-mission UUV surveys of operational areas as a tactical decision aid for planning EOID missions.

Paper Details

Date Published: 25 October 2007
PDF: 10 pages
Proc. SPIE 6675, Optical Modeling and Performance Predictions III, 66750N (25 October 2007); doi: 10.1117/12.734617
Show Author Affiliations
Kevin L. Mahoney, Naval Oceanographic Office (United States)
Oscar Schofield, Rutgers Univ. (United States)
John Kerfoot, Rutgers Univ. (United States)
Tom Giddings, Metron, Inc. (United States)
Joe Shirron, Metron, Inc. (United States)
Mike Twardowski, Wet Labs., Inc. (United States)


Published in SPIE Proceedings Vol. 6675:
Optical Modeling and Performance Predictions III
Mark A. Kahan, Editor(s)

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