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A BRDF Statistical Model Applying to Space Target Materials Modeling

机译:BRDF统计模型在空间目标材料建模中的应用

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In order to solve the problem of poor effect in modeling the large density BRDF measured data with five-parameter semi-empirical model, a refined statistical model of BRDF which is suitable for multi-class space target material modeling were proposed. The refined model improved the Torrance-Sparrow model while having the modeling advantages of five-parameter model. Compared with the existing empirical model, the model contains six simple parameters, which can approximate the roughness distribution of the material surface, can approximate the intensity of the Fresnel reflectance phenomenon and the attenuation of the reflected light's brightness with the azimuth angle changes. The model is able to achieve parameter inversion quickly with no extra loss of accuracy. The genetic algorithm was used to invert the parameters of 11 different samples in the space target commonly used materials, and the fitting errors of all materials were below 6%, which were much lower than those of five-parameter model. The effect of the refined model is verified by comparing the fitting results of the three samples at different incident zenith angles in 0 azimuth angle. Finally, the three-dimensional modeling visualizations of these samples in the upper hemisphere space was given, in which the strength of the optical scattering of different materials could be clearly shown. It proved the good describing ability of the refined model at the material characterization as well.
机译:为解决五参数半经验模型对大密度BRDF实测数据建模效果差的问题,提出了一种适合多类空间目标材料建模的BRDF精细统计模型。改进的模型改进了Torrance-Sparrow模型,同时具有五参数模型的建模优势。与现有的经验模型相比,该模型包含六个简单的参数,它们可以近似地估算材料表面的粗糙度分布,可以近似地反映菲涅尔反射现象的强度以及随着方位角变化反射光亮度的衰减。该模型能够快速实现参数反演,而不会造成额外的精度损失。利用遗传算法对空间目标常用材料中11种不同样品的参数进行了反演,所有材料的拟合误差均在6%以下,远低于五参数模型。通过比较三个样本在0方位角的不同入射天顶角下的拟合结果,验证了改进模型的效果。最后,给出了在上半球空间中这些样品的三维建模可视化,其中可以清楚地显示出不同材料的光散射强度。在材料表征方面也证明了改进模型的良好描述能力。

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