Virtual DRI dataset development

Jonathan G. Hixson; Brian P. Teaney; Christopher May; Tana Maurer; Michael B. Nelson; Justin R. Pham

doi:10.1117/12.2262736

3 May 2017 Virtual DRI dataset development

Jonathan G. Hixson, Brian P. Teaney, Christopher May, Tana Maurer, Michael B. Nelson, Justin R. Pham

Proceedings Volume 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII; 101780Q (2017) https://doi.org/10.1117/12.2262736
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

The U.S. Army RDECOM CERDEC NVESD MSD’s target acquisition models have been used for many years by the military analysis community for sensor design, trade studies, and field performance prediction. This paper analyzes the results of perception tests performed to compare the results of a field DRI (Detection, Recognition, and Identification Test) performed in 2009 to current Soldier performance viewing the same imagery in a laboratory environment and simulated imagery of the same data set. The purpose of the experiment is to build a robust data set for use in the virtual prototyping of infrared sensors. This data set will provide a strong foundation relating, model predictions, field DRI results and simulated imagery.

Citation Download Citation

Jonathan G. Hixson, Brian P. Teaney, Christopher May, Tana Maurer, Michael B. Nelson, and Justin R. Pham "Virtual DRI dataset development", Proc. SPIE 10178, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVIII, 101780Q (3 May 2017); https://doi.org/10.1117/12.2262736

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