Infrared Search And Track Performance Estimates For Detection Of Commercial Unmanned Aerial Vehicles
Keywords
imaging systems; Infrared search and track; IRST; UAVs
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.
Publication Date
1-1-2018
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
10625
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.2305559
Copyright Status
Unknown
Socpus ID
85048117216 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85048117216
STARS Citation
Nicholas, Robert; Driggers, Ronald; Shelton, David; and Furxhi, Orges, "Infrared Search And Track Performance Estimates For Detection Of Commercial Unmanned Aerial Vehicles" (2018). Scopus Export 2015-2019. 8121.
https://stars.library.ucf.edu/scopus2015/8121