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Proceedings Paper

OREOS: a new EO-IR modeling and simulation tool for U.S. Coast Guard search and rescue applications
Author(s): Sarah E. Lane; C. Spencer Nichols; Alan M. Thomas; J. Michael Cathcart
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Paper Abstract

Georgia Tech has developed a new modeling and simulation tool that predicts both radar and electro-optical infrared (EO-IR) lateral range curves (LRCs) and sweep widths (SWs) under the Optimization of Radar and Electro-Optical Sensors (OREOS) program for US Coast Guard Search and Rescue (SAR) applications. In a search scenario when the location of the lost or overdue craft is unknown, the Coast Guard will conduct searches based upon standard procedure, personnel expertise, operational experience, and models. One metric for search planning is the sweep width, or integrated area under a LRC. Because a searching craft is equipped with radar and EO-IR sensor suites, the Coast Guard is interested in accurate predictions of sweep width for the particular search scenario. Here, we will discuss the physical models that make up the EO-IR portion of the OREOS code. First, Georgia Tech SIGnature (GTSIG) generates thermal signatures of search targets based upon the thermal and optical properties of the target and the environment; a renderer then calculates target contrast. Sensor information, atmospheric transmission, and the calculated target contrasts are input into NVESD models to generate probability of detection (PD) vs. slant range data. These PD vs. range values are then converted into LRCs by taking into account a continuous look search from a moving platform; sweep widths are then calculated. The OREOS tool differs from previous methods in that physical models are used to predict the LRCs and sweep widths at every step in the process, whereas heuristic methods were previously employed to generate final predictions.

Paper Details

Date Published: 31 May 2013
PDF: 8 pages
Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130R (31 May 2013); doi: 10.1117/12.2018061
Show Author Affiliations
Sarah E. Lane, Georgia Tech Research Institute (United States)
C. Spencer Nichols, Georgia Tech Research Institute (United States)
Alan M. Thomas, Georgia Tech Research Institute (United States)
J. Michael Cathcart, Georgia Tech Research Institute (United States)

Published in SPIE Proceedings Vol. 8713:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X
Daniel J. Henry; Davis A. Lange; Dale Linne von Berg; S. Danny Rajan; Thomas J. Walls; Darrell L. Young, Editor(s)

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