Paper
23 September 1997 Improving the EOTDA ocean background model
Charles P. McGrath, Gregory D. Badzik
Author Affiliations +
Abstract
The Electro-Optical Tactical Decision Aid (EOTDA) is a strike warfare mission planning tool originally developed by the US Air Force. The US Navy has added navy sensors and targets to the EOTDA and installed it into current fleet mission planning and support systems. Fleet experience with the EOTDA and previous studies have noted the need for improvement, especially for scenarios involving ocean backgrounds. In order to test and improve the water background model in the EOTDA, a modified version has been created that replaces the existing semi-empirical model with the SeaRad model that was developed by Naval Command, Control and Ocean Surveillance Systems (NRaD). The SeaRad model is a more rigorous solution based on the Cox-Munk wave-slope probabilities. During the April 1996 Electrooptical Propagation Assessment in Coastal Environments (EOPACE) trials, data was collected to evaluate the effects of the SeaRad version of the EOTDA. Data was collected using a calibrated airborne infrared imaging system and operational FUR systems against ship targets. A modified version of MODTRAN also containing the SeaRad model is used to correct the data for the influences of the atmosphere. This report uses these data along with the modified EOTDA to evaluate the effects of the SeaRad model on ocean background predictions under clear and clouded skies. Upon using the more accurate water reflection model, the significance of the sky and cloud radiance contributions become more apparent leading to recommendations for further improvements.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles P. McGrath and Gregory D. Badzik "Improving the EOTDA ocean background model", Proc. SPIE 3125, Propagation and Imaging through the Atmosphere, (23 September 1997); https://doi.org/10.1117/12.279020
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KEYWORDS
Electro optical modeling

Atmospheric modeling

Sensors

Coastal modeling

Systems modeling

Data modeling

Performance modeling

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