Empirical model for creating longwave and midwave infrared radiometric and spatial characteristics of clouds for target detection considerations

Patrick Leslie; Robert Grimming; Sarina Grijalva; Steven Butrimas; Ronald Driggers

doi:10.1117/12.2618724

30 May 2022 Empirical model for creating longwave and midwave infrared radiometric and spatial characteristics of clouds for target detection considerations

Patrick Leslie, Robert Grimming, Sarina Grijalva, Steven Butrimas, Ronald Driggers

Author Affiliations +

Proceedings Volume 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII; 121060D (2022) https://doi.org/10.1117/12.2618724
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Clouds can increase the signal of the background and create non-uniformity behind an airborne target which results in low and varying contrast. Clear sky conditions provide a low noise, uniform background that gives a better chance of detection. In comparison, clouds in the immediate vicinity of a target can decrease the signal to noise ratio (SNR). Understanding key variables of this non-uniform structure can allow for better detection of small UAVs. The presented radiometric and spatial characteristics for both the midwave and longwave bands are the maximum and minimum blackbody equivalent temperature and the distributions of the cloud temperatures. The spatial metrics of measurements are a one-dimensional power spectrum to understand the random spatial structure of the clouds. These cloud properties are measured at night to avoid any solar contributions and obtain their emissive characteristics. An Empirical Model is created to predict cloud radiances in any atmosphere.

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Citation Download Citation

Patrick Leslie, Robert Grimming, Sarina Grijalva, Steven Butrimas, and Ronald Driggers "Empirical model for creating longwave and midwave infrared radiometric and spatial characteristics of clouds for target detection considerations", Proc. SPIE 12106, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIII, 121060D (30 May 2022); https://doi.org/10.1117/12.2618724

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KEYWORDS

Clouds

Target detection

Infrared detectors

Infrared radiation

Long wavelength infrared

Mid-IR

Signal to noise ratio

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