Numerical simulation of rough surface bidirectional reflectance distribution function (BRDF)

Weiwei Feng; Qingnong Wei; Shimei Wang; Yunzhi Wu; Shisheng Liu; Dexia Wu; Zengdong Liu

doi:10.1117/12.783128

27 November 2007 Numerical simulation of rough surface bidirectional reflectance distribution function (BRDF)

Weiwei Feng, Qingnong Wei, Shimei Wang, Yunzhi Wu, Shisheng Liu, Dexia Wu, Zengdong Liu

Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 672314 (2007) https://doi.org/10.1117/12.783128
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

Bidirectional Reflectance Distribution Function (BRDF ) has a wide use in surface detection and target recognition in the surveillance system. There are many existing models used to validate experimental data and to represent the surface. In order to make clearly the similarities and difference between the existing models, numerical simulation of several kind of models were done, and the comparison and analysis between were made. To fit practicale application, a kind of new model based on micro-facet theory was proposed. This model has both diffuse and specular components, which take into account the geometrical effects such as masking and shadowing. The numerical simulation results are compared with the experimental data obtained from a three-axis goniometer system on some typical materials. The comparison indicates that this model fits well with experimental data and can satisfy practical use in a project.

Citation Download Citation

Weiwei Feng, Qingnong Wei, Shimei Wang, Yunzhi Wu, Shisheng Liu, Dexia Wu, and Zengdong Liu "Numerical simulation of rough surface bidirectional reflectance distribution function (BRDF)", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 672314 (27 November 2007); https://doi.org/10.1117/12.783128

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