Drone detection in the reflective bands: Vis, NIR, SWIR, eSWIR

Joshua Follansbee; Lindsey Wiley; Patrick Leslie; Charles Revello; Ronald Driggers

doi:10.1117/12.2618721

27 May 2022 Drone detection in the reflective bands: Vis, NIR, SWIR, eSWIR

Joshua Follansbee, Lindsey Wiley, Patrick Leslie, Charles Revello, Ronald Driggers

Proceedings Volume 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII; 121060A (2022) https://doi.org/10.1117/12.2618721
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

Joshua Follansbee, Lindsey Wiley, Patrick Leslie, Charles Revello, and Ronald Driggers "Drone detection in the reflective bands: Vis, NIR, SWIR, eSWIR", Proc. SPIE 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII, 121060A (27 May 2022); https://doi.org/10.1117/12.2618721

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