遗传算法在双向反射分布函数模型参数优化中的应用

Application of Genetic Algorithms Based on the Parameters Optimization of BRDF Model

对以大理石为代表的材料进行了双向反射分布函数测量实验,得出了样品的半球反射率,并研究了其随入射、反射天顶角等参数变化的规律。采用遗传算法建立了金刚砂和大理石材料的双向反射分布函数的参数模型,对模型进行参数反演时,通过遗传算法进行优化。拟合后的实验数据曲线表明,利用遗传算法得到的结果具有较好的一致性。

By measuring the BRDF of a kind of typical material--granite, sample＇s hemisphere reflectivity has been acquired and the law of its dependence on the zenith-angle and azimuth-angle variation has been studied. Using genetic algorithm, established BRDF models of the silicon carbide paper and granite material and optimized parameters retrieval models. The fitting curves show the results consistency obtained by genetic algorithm.