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14 May 2019 Validation of an infrared sensor model with field collected imagery of unresolved unmanned aerial vehicle (UAV) targets
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Abstract
An IR sensor model is validated using experimentally derived peak pixel SNR versus range for detection of either an unresolved or a resolved UAV target. The model provided estimated time-averaged peak SNR values for the ranges used in the field collection. A MWIR camera and a LWIR camera provided the measured data. Commercially available UAVs were flown along a line from the cameras to a clear sky region for background. A laser range finder measured the range at seven stopping points along the path. The data resulted in five ranges of unresolved target information for the MWIR camera and four ranges for the LWIR camera. This paper provides details for using the data collected from the model to match the cameras used in the field collection. Also, the processing used to extract peak SNR versus range from imagery is presented.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Gemar, R. Driggers, G. Tener, C. Halford, N. Fudala, J. Hewitt, R. Short, T. Pace, D. Manville, D. Shelton, M. Theisen, D. Gaudiosi, and C. Olson "Validation of an infrared sensor model with field collected imagery of unresolved unmanned aerial vehicle (UAV) targets", Proc. SPIE 11001, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXX, 110010E (14 May 2019); https://doi.org/10.1117/12.2527191
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