Use of synthetic imagery in target detection model improvement

Timothy C. Edwards; Richard H. Vollmerhausen

doi:10.1117/12.439155

10 September 2001 Use of synthetic imagery in target detection model improvement

Timothy C. Edwards, Richard H. Vollmerhausen

Author Affiliations +

Proceedings Volume 4372, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII; (2001) https://doi.org/10.1117/12.439155
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Perception tests have been performed by Night Vision and Electronic Sensors Directorate (NVESD) addressing the process of searching an image with the intent of detecting a target of military importance. The imagery used in the experiments was generated using NVESD's Paint-the-Night (PTN) thermal image simulation. The use of PTN simulation permits the same scene and target to be viewed with different sensor characteristics (such as resolution, noise and sampling). This allows the isolation of single variables in an experimental environment and the evaluations of their effect on probability of detection. Typical first and second generation FLIR sensor effects were applied to each of 100 synthetic images resulting in an experimental data set with identical thermal signatures and sensor fields of view. Experimental results are presented and the advantages of using synthetic imagery to evaluate differences in sensor resolution, noise, and other characteristics are discussed.

Citation Download Citation

Timothy C. Edwards and Richard H. Vollmerhausen "Use of synthetic imagery in target detection model improvement", Proc. SPIE 4372, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII, (10 September 2001); https://doi.org/10.1117/12.439155

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