13 September 2018 Stochastic model for quantifying effect of surface roughness on light reflection by diffuse reflectance standards
Peng Tian, Xun Chen, Jiahong Jin, Jun Q. Lu, Xiaohui Liang, Xin-Hua Hu
Author Affiliations +
Abstract
Diffuse reflectance standards of known hemispherical reflectance Rh are widely used in optical and imaging studies. We have developed a stochastic surface model to investigate light reflection and roughness dependence. Through Monte Carlo simulations, the angle-resolved distributions of reflected light have been modeled as the results of local surface reflection with a constant reflectance Rs representing the overall ability of a reflectance standard. The surface was modeled by an ensemble of random Gaussian surface profiles parameterized by a mean surface height δ and transverse correlation length a. By decreasing δ  /  a, the calculated reflected light distributions were found to transit from Lambertian to specular reflection regime. Reflected light distributions were measured with three standards by nominal reflectance Rh valued at 10%, 80%, and 99%. The calculated results agree well with the measured data in their angular distributions at different incident angles by setting Rs  =  Rh and δ  =  a  =  3.5  μm.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Peng Tian, Xun Chen, Jiahong Jin, Jun Q. Lu, Xiaohui Liang, and Xin-Hua Hu "Stochastic model for quantifying effect of surface roughness on light reflection by diffuse reflectance standards," Optical Engineering 57(9), 094104 (13 September 2018). https://doi.org/10.1117/1.OE.57.9.094104
Received: 18 July 2018; Accepted: 28 August 2018; Published: 13 September 2018
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Cited by 1 scholarly publication and 3 patents.
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KEYWORDS
Reflection

Diffuse reflectance spectroscopy

Reflectivity

Surface roughness

Stochastic processes

Photons

Monte Carlo methods

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