Open AccessPhotography-based real-time long-wave infrared scattering estimation technique
Author(s) -
Tianqi Luo,
Di Lin,
Merlin L. Mah,
Connor Hashemi,
James R. Leger,
Joseph J. Talghader
Publication year - 2021
Publication title -
journal of the optical society of america. a, optics, image science, and vision./journal of the optical society of america. a, online
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.803
H-Index - 158
eISSN - 1520-8532
pISSN - 1084-7529
DOI - 10.1364/josaa.422069
Subject(s) - optics , specular reflection , bidirectional reflectance distribution function , scattering , materials science , analytical chemistry (journal) , physics , chemistry , reflectivity , chromatography
The scattered light distribution of surfaces in the long-wave infrared ( λ ∼8-12µ m ) is measured using a small set of thermal camera images. This method can extract scatter patterns considerably faster than standard laboratory bidirectional reflectance distribution function measurements and is appropriate for passive homogeneous surfaces. Specifically, six images are used in this study, each taken with respect to a thermal light source at an angle ranging from 10° to 60° to the normal of the surface. This data is deconvolved with the shape of the light source to estimate the scattering pattern. Both highly specular (black Masonite) and diffuse (painted drywall) surfaces are tested. Errors between the estimated scattering distribution and a directly measured one using a goniometer stage and quantum-cascade laser (QCL) are less than or equal to 3% except for extremely specular surfaces where viable QCL measurements cannot be made due to the increased relative contribution of speckle noise.