Irma 5.2 multi-sensor signature prediction model

James Savage; Charles Coker; Bea Thai; Omar Aboutalib; John Pau

doi:10.1117/12.778000

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11 April 2008 Irma 5.2 multi-sensor signature prediction model

James Savage, Charles Coker, Bea Thai, Omar Aboutalib, John Pau

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Proceedings Volume 6965, Modeling and Simulation for Military Operations III; 69650A (2008) https://doi.org/10.1117/12.778000
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The Irma synthetic signature prediction code is being developed by the Munitions Directorate of the Air Force Research Laboratory (AFRL/RW) to facilitate the research and development of multi-sensor systems. There are over 130 users within the Department of Defense, NASA, Department of Transportation, academia, and industry. Irma began as a high-resolution, physics-based Infrared (IR) target and background signature model for tactical weapon applications and has grown to include: a laser (or active) channel (1990), improved scene generator to support correlated frame-to-frame imagery (1992), and passive IR/millimeter wave (MMW) channel for a co-registered active/passive IR/MMW model (1994). Irma version 5.0 was released in 2000 and encompassed several upgrades to both the physical models and software; host support was expanded to Windows, Linux, Solaris, and SGI Irix platforms. In 2005, version 5.1 was released after extensive verification and validation of an upgraded and reengineered ladar channel. The reengineering effort then shifted focus to the Irma passive channel. Field measurements for the validation effort include both polarized and unpolarized data collection. Irma 5.2 was released in 2007 with a reengineered passive channel. This paper summarizes the capabilities of Irma and the progress toward Irma 5.3, which includes a reengineered radar channel.

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James Savage, Charles Coker, Bea Thai, Omar Aboutalib, and John Pau "Irma 5.2 multi-sensor signature prediction model", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650A (11 April 2008); https://doi.org/10.1117/12.778000

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