光谱学与光谱分析, 2010, 30 (3): 729, 网络出版: 2010-07-23   

基于遗传LM算法的涂层目标光谱偏振BRDF建模分析

Model and Analysis of Spectropolarimetric BRDF of Painted Target Based
作者单位
西北工业大学自动化学院, 陕西 西安 710072
摘要
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。on GA-LM Method
Abstract
Models based on microfacet were used to describe spectropolarimetricBRDF (short for bidirectional reflectance distribution function) withexperimental data. And the spectropolarimetric BRDF values of targets weremeasured with the comparison to the standard whiteboard, which was considered asLambert and had a uniform reflectance rate up to 98% at arbitrary angle of view.And then the relationships between measured spectropolarimetric BRDF values andthe angles of view, as well as wavelengths which were in a range of 400-720 nmwere analyzed in details. The initial value needed to be input to the LMoptimization method was difficult to get and greatly impacted the results.Therefore, optimization approach which combines genetic algorithm and Levenberg-Marquardt (LM) was utilized aiming to retrieve parameters of nonlinear models,and the initial values were obtained using GA approach. Simulated experimentswere used to test the efficiency of the adopted optimization method. And thesimulated experiment ensures the optimization method to have a good performanceand be able to retrieve the parameters of nonlinear model efficiently. Thecorrectness of the models was validated by real outdoor sampled data. Theparameters of DoP model retrieved are the refraction index of measured targets.The refraction index of the same color painted target but with differentmaterials was also obtained. Conclusion has been drawn that the refraction indexfrom these two targets are very near and this slight difference could beunderstood by the difference in the conditions of paint targets’ surface, notthe material of the targets.BRDF; Microfacet model等学校博士学科点专项科研基金项目(20060699032), 航空科学基金项目(2007ZC53037)和西北工业大学英才计划基金项目资助

陈超, 赵永强, 罗丽, 潘泉, 程咏梅, 王凯. 基于遗传LM算法的涂层目标光谱偏振BRDF建模分析[J]. 光谱学与光谱分析, 2010, 30(3): 729. CHEN Chao, ZHAO Yong-qiang, LUO Li, PAN Quan, CHENG Yong-mei, WANG Kai. Model and Analysis of Spectropolarimetric BRDF of Painted Target Based[J]. Spectroscopy and Spectral Analysis, 2010, 30(3): 729.

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