基于遗传LM算法的涂层目标光谱偏振BRDF建模分析

通过比较测量方法测量得到绿漆涂层木板探测目标在400～720 nm的光谱偏振二向反射分布函数值，从获得的户外试验测量数据入手，分析与探测角、波长之间的关系，通过有限探测条件得到的光谱偏振二向反射分布函数值(BRDF)建立光谱偏振BRDF模型，来描述探测目标的偏振二向反射特性。其中利用基于小面元的模型建立光谱偏振BRDF模型，利用遗传算法和Levenberg-Marquardt(LM)算法相结合的优化算法来获得非线性模型参数。仿真实验结果表明采用的遗传LM优化算法具有较好的性能，能较快较准确得到非线性的模型参数。真实实验数据证明了基于小面元模型的正确性，表明光谱偏振二向反射分布函数建模方法结果的可靠性。最后与绿漆涂层铁板目标的模型反演参数进行比较得出：2种不同材质、相同颜色涂层的目标，具有较为接近的折射率，其较小差别可以理解为由涂层的厚度、均匀程度的不同导致，而非不同的材质所引起。

Model and Analysis of Spectropolarimetric BRDF of Painted Target Based on GA-LM Method

Models based on microfacet were used to describe spectropolarimetric BRDF(short for bidirectional reflectance distribution function) with experimental data.And the spectropolarimetric BRDF values of targets were measured with the comparison to the standard whiteboard,which was considered as Lambert and had a uniform reflectance rate up to 98% at arbitrary angle of view.And then the relationships between measured spectropolarimetric BRDF values and the angles of view,as well as wavelengths which were in a ra...