Presentation + Paper
14 June 2023 Comparison of reflective band (Vis, NIR, SWIR, eSWIR) performance in daytime reduced illumination conditions
Author Affiliations +
Abstract
Daytime low light conditions such as overcast, dawn, and dusk pose a challenge for object discrimination in the reflective bands, where the majority of illumination comes from reflected solar light. In reduced illumination conditions, sensor signal-to-noise ratio can suffer, inhibiting range performance for recognizing and identifying objects of interest. This performance reduction is more apparent in the longer wavelengths where there is less solar light. Range performance models show a strong dependence on cloud type, thickness, and time of day across all wavebands. Through an experimental and theoretical analysis of a passive sensitivity and resolution matched testbed, we compare Vis (0.4-0.7μm), NIR (0.7-1μm), SWIR (1-1.7μm), and eSWIR (2-2.5μm) to assess the limiting cases in which reduced illumination inhibits range performance.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lindsey Wiley, Richard Cavanaugh, Joshua Follansbee, Derek Burrell, Robert Grimming, Rich Pimpinella, Jeff Voss, Orges Furxhi, and Ron Driggers "Comparison of reflective band (Vis, NIR, SWIR, eSWIR) performance in daytime reduced illumination conditions", Proc. SPIE 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV, 125330A (14 June 2023); https://doi.org/10.1117/12.2663402
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KEYWORDS
Clouds

Light sources and illumination

Short wave infrared radiation

Near infrared

Cameras

Atmospheric modeling

Sun

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