19 September 2022 Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared
Author Affiliations +
Abstract

Target detection and identification are well-studied problems in the visible and near infrared (IR) 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 diffraction-limited angular resolution than the midwave IR and longwave IR. eSWIR should additionally improve object-sky contrast due to having lower background sky path radiance than the SWIR. An analysis of the signal-to-noise ratio and contrast for drone imaging in the reflective bands is presented and compared with a Night Vision Integrated Performance Model of drone detection performance using equivalent reflectivities. We find that imaging performance across all four bands is strongly dependent on pixel pitch and contrast.

© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
Joshua Follansbee, Lindsey Wiley, Patrick Leslie, Charles Revello, and Ronald Driggers "Drone detection performance in the reflective bands: visible, near infrared, short wave infrared, and extended short wave infrared," Optical Engineering 61(9), 095106 (19 September 2022). https://doi.org/10.1117/1.OE.61.9.095106
Received: 7 May 2022; Accepted: 7 September 2022; Published: 19 September 2022
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Reflectivity

Short wave infrared radiation

Near infrared

Cameras

Visible radiation

Signal to noise ratio

Sensors

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