目标粗糙表面偏振二向反射分布函数实验研究方法改进

由于利用传统p BRDF(polarimetric Bidirectional Reflectance Directional Function,偏振二向反射分布函数)的测试方法效率较低,精度不高,难以满足研究需要,因此基于自主研发制造的二维转台系统,设计了散射光Stokes参量及p BRDF矩阵的新测试方法,以提高测试效率和精度。该方法将单点测试次数由传统方法的16次降低到4次,测试效率更高,根据Muller矩阵的对称性进行数据处理,反演精度更高。针对该方法设计了实验验证方法,验证的实验对象包括标准反射板、绿色功能涂层。实验结果表明了所提测试方法的准确性及有效性,为今后目标粗糙表面p BRDF模型的改进提供了高精度的实验支撑。此外,分析实验数据可知,反射光的强度曲线与偏振分量曲线区别较大,因此使用偏振成像探测技术可有效提高目标探测和识别的能力。

An Improved pBRDF Test Method for Rough Surfaces of Targets

To improve the precision and efficiency of traditional polarimetric Bidirectional Reflectance Directional Function(pBRDF) measure methods, this paper designed a new test method for measurement of the Stokes parameters and pBRDF Matrix of scattering light, making use of a self-developed two-dimensional turntable system. The method decreased the number of measurements from 16 to 4. Data processing of the method was based on the theory that Mueller matrix of isotropic materials has a symmetrical structure which makes it more reasonable with small errors. The paper designed an experiment to validate the method. The samples detected in the experiment include standard reflector and green coating on the surface of aluminum plate. The experiment results verified the accuracy and effectivity of the proposed method, backing the study of pBRDF model of targets with much more accurate experiment data. The experiment data also showed difference between the curve of intensity component and that of the polarization component and the discovery verified that the application of polarization imaging technology effectively improves the ability of target detection and recognition.