Evaluating the performance of reflective band imaging systems: a tutorial

Brian P. Teaney; David P. Haefner; Joshua M. Doe; Stephen D. Burks

doi:10.1117/12.2518607

14 May 2019 Evaluating the performance of reflective band imaging systems: a tutorial

Brian P. Teaney, David P. Haefner, Joshua M. Doe, Stephen D. Burks

Proceedings Volume 11001, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX; 1100103 (2019) https://doi.org/10.1117/12.2518607
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

At NVESD, the targeting task performance (TTP) metric applies a weighting of different system specifications, that are determined from the scene geometry, to calculate a probability of task performance. In this correspondence we detail how to utilize an imaging system specification document to obtain a baseline performance estimate using the Night Vision Integrated Performance Model (NV-IPM), the corresponding input requirements, and potential assumptions. We then discuss how measurements can be performed to update the model to pro- vide a more accurate prediction of performance, detailing the procedures taken at the NVESD Advanced Sensor Evaluation Facility (ASEF) lay utilizing the Night Vision Laboratory Capture (NVLabCap) software. Finally, we show how the outputs of the measurement can be compared to those of the initial specification sheet based model, and evaluated against a requirements document. The modeling components and data set produced for this work are available upon request, and will serve as a means to benchmark performance for both modeling and measurement methods.

Citation Download Citation

Brian P. Teaney, David P. Haefner, Joshua M. Doe, and Stephen D. Burks "Evaluating the performance of reflective band imaging systems: a tutorial", Proc. SPIE 11001, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX, 1100103 (14 May 2019); https://doi.org/10.1117/12.2518607

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