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Target recognition in a turbid medium with backscattered polarization patterns

机译:具有反向散射偏振图案的混浊介质中的目标识别

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Optical systems have been extensively studied for target recognition in a turbid medium because of its promising applications in many fields such as driver assistant system. Several recent studies have demonstrated that relevant information of the turbid medium including the hidden object in the medium can be derived by analyzing the polarization state of diffusely backscattered light of the sample. In this paper Stokes/Mueller formula was introduced to investigate polarized light transportation in a turbid medium such as atmosphere; Mie scattering theory was applied to calculate the scattering property of polarized light; Monte Carlo method was used to compute backscattered polarization patterns from a turbid medium containing hidden object. Results showed that the backscattered polarization patterns are strongly influenced by optical parameters of the medium. The two-dimensional distribution of degree of polarization (DOP) calculated from backscattered Mueller matrix can well discriminate different objects within limited distance. For applications in driver assistant system, the effective recognition distance in a foggy weather was also calculated; and results could be several times of visibility distance.
机译:光学系统已经广泛地研究了混浊介质中的目标识别,因为其在诸如驾驶员辅助系统之类的许多领域中的有前途的应用。最近的几项研究表明,通过分析样品的漫反射光的偏光态的偏振状态,可以推导出包括介质中隐藏物体的混浊介质的相关信息。在本文中,引入了斯托克斯/穆勒公式,以研究诸如大气的混浊介质中的偏振光输送;米西散射理论用于计算偏振光的散射性能; Monte Carlo方法用于计算包含隐藏物体的混浊介质的反向散射偏振图案。结果表明,反向散射偏振图案受介质光学参数的强烈影响。由反向散射的穆勒船矩阵计算的偏振度(DOP)的二维分布可以很好地区分不同的物体在有限距离内。对于驾驶员助理系统的应用,还计算了有雾天气的有效识别距离;结果可能是几次可见性距离。

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