Unmanned aerial vehicles (UAVs) have become more readily available in the past 5 years and are proliferating rapidly. New aviation regulations are accelerating the use of UAVs in many applications. As a result, there are increasing concerns of potential air threats in situational environments including commercial airport security and drug trafficking. In this study, radiometric signatures of commercially available miniature UAVs is determined for long-wave infrared (LWIR) bands in both clear sky and partial cloudy conditions. Results are presented that compare LWIR performance estimates for the detection of commercial UAVs via infrared search and track (IRST) systems with two candidate sensors.
Robert Nicholas, Ronald Driggers, David Shelton, and Orges Furxhi, "Infrared search and track performance estimates for detection of commercial unmanned aerial vehicles," Proc. SPIE 10625, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX, 106250Y (Presented at SPIE Defense + Security: April 18, 2018; Published: 26 April 2018); https://doi.org/10.1117/12.2305559.
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