@inproceedings{fc05bc075c3a48099941a42bde8b06dd,
title = "Drone detection in the reflective bands: Vis, NIR, SWIR, eSWIR",
abstract = "Target detection and identification are well-studied problems in the visible (VIS) and near infrared (NIR) bands, with recent work focusing on the short wave IR (SWIR) band. The extended SWIR (eSWIR) band (2 to 2.5 μm) offers an advantage over SWIR due to increased atmospheric transmission, while keeping greater angular resolution than the midwave and longwave IR. eSWIR should additionally improve object-sky contrast due to lower background sky path radiance than the SWIR. An analysis of drone signal-To-noise ratio (SNR) and contrast in the reflective bands is presented and compared to an NVIPM model of drone detection performance using equivalent reflectivities.",
keywords = "SNR, SWIR, contrast, drone, drones, eSWIR, infrared, reflective bands, target detection",
author = "Joshua Follansbee and Lindsey Wiley and Patrick Leslie and Charles Revello and Ronald Driggers",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII 2022 ; Conference date: 06-06-2022 Through 12-06-2022",
year = "2022",
doi = "10.1117/12.2618721",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Holst, {Gerald C.} and Haefner, {David P.}",
booktitle = "Infrared Imaging Systems",
}