Case-study analysis of apparent camouflage-pattern color using segment-weighted spectra

S. Ramsey; T. Mayo; C. Howells; A. Shabaev; S. G. Lambrakos

doi:10.1117/12.2513458

14 May 2019 Case-study analysis of apparent camouflage-pattern color using segment-weighted spectra

S. Ramsey, T. Mayo, C. Howells, A. Shabaev, S. G. Lambrakos

Proceedings Volume 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV; 109861R (2019) https://doi.org/10.1117/12.2513458
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Advanced camouflage patterns, consisting of highly detailed camouflage patterning, require additional methodologies for color evaluation, which is with respect to realistic field conditions. A quantitative metric for evaluation of comouflage patterns, as viewed under realistic field conditions, is “apparent color,” which is the combination of all visible wavelengths (380-700 nm) of light reflected from large camouflage-pattern samples (≥1m² ) for a given standoff distance (25-100 ft). Camouflage patterns lose resolution with increasing standoff distance, and eventually all colors within the pattern combine and thus appear monotone (the “apparent color” of the camouflage pattern). This paper presents a case-study analysis of apparent camouflage-pattern color using segment-weighted reflectance spectra for the purpose of evaluating apparent color of advanced camouflage patterns with respect to realistic field conditions. Simulation of apparent camouflage-pattern color using this methodology is based on decomposition of camouflage-pattern reflectance with respect to component segments of camouflage patterns.

Citation Download Citation

S. Ramsey, T. Mayo, C. Howells, A. Shabaev, and S. G. Lambrakos "Case-study analysis of apparent camouflage-pattern color using segment-weighted spectra", Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 109861R (14 May 2019); https://doi.org/10.1117/12.2513458

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