Ling Jin-jiang, Li Gang, Zhang Ren-bin, Tang Qian, Ye Qiu
Guang Pu Xue Yu Guang Pu Fen Xi. 2016 Jan;36(1):42-6.
Under the conditions of the polarized light, The reflective surface of the object is affected by many factors, refractive index, surface roughness, and so the angle of incidence. For the rough surface in the different wavelengths of light exhibit different reflection characteristics of polarization, a spectral polarimetric BRDF based on Kirchhof theory is proposee. The spectral model of complex refraction index is combined with refraction index and extinction coefficient spectral model which were got by using the known complex refraction index at different value. Then get the spectral model of surface roughness derived from the classical surface roughness measuring method combined with the Fresnel reflection function. Take the spectral model of refraction index and roughness into the BRDF model, then the spectral polarimetirc BRDF model is proposed. Compare the simulation results of the refractive index varies with wavelength, roughness is constant, the refraction index and roughness both vary with wavelength and origin model with other papers, it shows that, the spectral polarimetric BRDF model can show the polarization characteristics of the surface accurately, and can provide a reliable basis for the application of polarization remote sensing, and other aspects of the classification of substances.
在偏振光条件下，物体的反射面受多种因素影响，如折射率、表面粗糙度以及入射角等。对于粗糙表面，在不同波长的光下呈现出不同的偏振反射特性，为此提出了一种基于基尔霍夫理论的光谱偏振双向反射分布函数（BRDF）。将复折射率的光谱模型与通过在不同值下使用已知复折射率得到的折射率和消光系数光谱模型相结合。然后结合经典的表面粗糙度测量方法与菲涅尔反射函数，得到表面粗糙度的光谱模型。将折射率和粗糙度的光谱模型代入BRDF模型，进而提出光谱偏振BRDF模型。将折射率随波长变化、粗糙度恒定、折射率和粗糙度均随波长变化的模拟结果与原始模型以及其他文献进行比较，结果表明，光谱偏振BRDF模型能够准确地呈现表面的偏振特性，可为偏振遥感应用以及物质分类等其他方面提供可靠依据。
