Paper
5 October 2006 Optical signature modeling at FOI
Author Affiliations +
Proceedings Volume 6395, Electro-Optical and Infrared Systems: Technology and Applications III; 639508 (2006) https://doi.org/10.1117/12.689824
Event: Optics/Photonics in Security and Defence, 2006, Stockholm, Sweden
Abstract
Computer programs for prediction of optical signatures of targets and backgrounds are valuable tools for signature assessment and signature management. Simulations make it possible to study optical signatures from targets and backgrounds under conditions where measured signatures are missing or incomplete. Several applications may be identified: Increase understanding, Design and assessment of low signature concepts, Assessment of tactics, Design and assessment of sensor systems, Duel simulations of EW, and Signature awareness. FOI (the Swedish Defence Research Agency) study several methods and modeling programs for detailed physically based prediction of the optical signature of targets in backgrounds. The most important commercial optical signature prediction programs available at FOI are CAMEO-SIM, RadThermIR, and McCavity. The main tasks of the work have been: Assembly of a database of input data, Gain experience of different computer programs, In-house development of complementary algorithms and programs, and Validation and assessment of the simulation results. This paper summarizes the activities and the results obtained. Some application examples will be given as well as results from validations. The test object chosen is the MTLB which is a tracked armored vehicle. It has been used previously at FOI for research purposes and therefore measurement data is available.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Nelsson, P. Hermansson, S. Nyberg, A. Persson, R. Persson, S. Sjökvist, and T. Winzell "Optical signature modeling at FOI", Proc. SPIE 6395, Electro-Optical and Infrared Systems: Technology and Applications III, 639508 (5 October 2006); https://doi.org/10.1117/12.689824
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Cited by 7 scholarly publications.
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KEYWORDS
Electro optical modeling

Sensors

Data modeling

Monte Carlo methods

Atmospheric modeling

RGB color model

Reflectivity

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