@inproceedings{24cb2ed472df4c73996765ea5bc2185d,
title = "Infrared search and track performance estimates for detection of commercial unmanned aerial vehicles",
abstract = "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.",
keywords = "IRST, Infrared search and track, UAVs, imaging systems",
author = "Robert Nicholas and Ronald Driggers and David Shelton and Orges Furxhi",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX 2018 ; Conference date: 17-04-2018 Through 18-04-2018",
year = "2018",
doi = "10.1117/12.2305559",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Krapels, {Keith A.} and Holst, {Gerald C.}",
booktitle = "Infrared Imaging Systems",
}