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Parameters inversing of polarized bidirectional reflectance distribution function model for target rough surface

机译:目标粗糙表面偏振双向反射率分布函数模型的参数反演

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In this paper, we try to find a model that can apply to predict the polarization characteristics of the targets on the ground correctly. In the first place, we give an introduction to several kinds of existing models which are divided into three categories: Empirical models are precise but occupy too much source of computer; Physical-based models can predict the phenomenon of reflection exactly but hardly get the final results; Semi-empirical models have both advantages mentioned above and avoid their disadvantages effectively. Then we make an analysis of the Priest-Germer (PG) pBRDF model, one of semi-empirical models, which is suitable for our study. The methods of parameters inversing and testing are proposed based on this model and the test system from which we can get enough data to verify the accuracy of the model is designed independently. At last, we make a simulation of the whole process of the parameters inversing based on PG pBRDF model. From the analysis of the simulation curves, we briefly know the direction we go in the following work to make an amendment.
机译:在本文中,我们试图找到一个模型,该模型可用于正确预测地面目标的极化特性。首先,我们对几种现有的模型进行了介绍,这些模型分为三类:经验模型很精确,但是却占据了过多的计算机资源;基于物理的模型可以准确地预测反射现象,但是很难获得最终结果。半经验模型既具有上述优点,又可有效避免其缺点。然后,我们对适合于我们的研究的半经验模型之一的Priest-Germer(PG)pBRDF模型进行了分析。在此模型的基础上,提出了参数反演和测试方法,并从测试系统中获得了足够的数据来验证模型的准确性。最后,基于PG pBRDF模型对参数反演的全过程进行了仿真。通过对仿真曲线的分析,我们可以简短地了解我们在后续工作中进行修正的方向。

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