| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Degree of polarization based on the three-component pBRDF model for metallic materials |
| Kai Wang(王凯)1, Jing-Ping Zhu(朱京平)1, Hong Liu(刘宏)1,2 |
1 Key Laboratory for Physical Electronics and Devices of the Ministry of Education and Shaanxi Key Laboratory of Information Photonic Technique, Xi'an Jiaotong University, Xi'an 710049, China;
2 The State Key Laboratory of Astronautic Dynamics, Xi'an Satellite Control Center, Xi'an 710043, China |
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Abstract An expression of degree of polarization (DOP) for metallic material is presented based on the three-component polarized bidirectional reflectance distribution function (pBRDF) model with considering specular reflection, directional diffuse reflection and ideal diffuse reflection. The three-component pBRDF model with a detailed reflection assumption is validated by comparing simulations with measurements. The DOP expression presented in this paper is related to surface roughness, which makes it more reasonable in physics. Test results for two metallic samples show that the DOP based on the three-component pBRDF model accords well with the measurement and the error of existing DOP expression is significantly reduced by introducing the diffuse reflection. It indicates that our DOP expression describes the polarized reflection properties of metallic surfaces more accurately.
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Received: 15 August 2016
Revised: 18 October 2016
Accepted manuscript online:
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PACS:
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42.25.Ja
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(Polarization)
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78.20.Bh
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(Theory, models, and numerical simulation)
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78.66.Bz
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(Metals and metallic alloys)
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Corresponding Authors:
Jing-Ping Zhu
E-mail: jpzhu@mail.xjtu.edu.cn
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Cite this article:
Kai Wang(王凯), Jing-Ping Zhu(朱京平), Hong Liu(刘宏) Degree of polarization based on the three-component pBRDF model for metallic materials 2017 Chin. Phys. B 26 024210
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| [1] |
Snik F, Craven-Jones J and Escuti M 2014 Proc. SPIE, May 5-6, 2014, Baltimore, MD, USA, 90990B
|
| [2] |
Tyo J S, Goldstein D L, Chenault D B and Shaw J A 2006 Appl. Opt. 45 5453
|
| [3] |
Aron Y and Gronau Y 2005 Defense and Security (International Society for Optics and Photonics) p. 653
|
| [4] |
Eyyuboğlu H T, Baykal Y and Cai Y 2007 Appl. Phys. B 89 91
|
| [5] |
Shao H, He Y, Li W and Ma H 2006 Appl. Opt. 45 4491
|
| [6] |
Li X, Ranasinghesagara J C and Yao G 2008 Opt. Express 16 9927
|
| [7] |
Jacques S L, Ramella-Roman J C and Lee K 2002 Journal of Biomedical Optics 7 329
|
| [8] |
Thilak V, Voelz D G and Creusere C D 2007 Appl. Opt. 46 7527
|
| [9] |
Priest R G and Germer T A 2000 Theory and Measurements (Washington DC: Naval Research LAB) p. 169
|
| [10] |
Nicodemus F E 1970 Appl. Opt. 9 1474
|
| [11] |
Wang K, Zhu J P, Liu H and Hou X 2016 Chin. Phys. B 25 094201
|
| [12] |
Shell J R II 2005 "Polarimetric remote sensing in the visible to near infrared", Ph. D. Dissertation (New York: Rochester Institute of Technology)
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