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Adaptive algorithms for two-channel polarization sensing under various polarization statistics with nonuniform distributions

机译：具有不均匀分布的各种极化统计下的两通道极化传感自适应算法

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摘要

The polarization of light carries much useful information about the environment. Biological studies have shown that some animal species use polarization information for navigation and other purposes. It has been previously shown that a bioinspired polarization-difference imaging (PDI) technique can facilitate detection and feature extraction of targets in scattering media. It has also been established [J. Opt. Soc. Am. A 15, 359 (1998)] that polarization sum and polarization difference are the optimum pair of linear combinations of images taken through two orthogonally oriented linear polarizers of a scene having a uniform distribution of polarization directions. However, in many real environments the scene has a nonuniform distribution of polarization directions. Using principal component analysis of the polarization statistics of the scene, we develop a method to determine the two optimum information channels with unequal weighting coefficients that can be formed as linear combinations of the images of a scene taken through a pair of linear polarizers not constrained to the horizontal and vertical directions of the scene. We determine the optimal orientations of linear polarization filters that enhance separation of a target from the background, where the target is defined as an area with distinct polarization characteristics as compared to the background. Experimental results confirm that in most situations adaptive PDI out-performs conventional PDI with fixed channels.
机译：光的偏振携带有关环境的许多有用信息。生物学研究表明，某些动物物种将极化信息用于航行和其他目的。先前已经证明，生物启发的偏振差成像（PDI）技术可以促进散射介质中目标的检测和特征提取。它也已经建立了[J．选择。 Soc。上午。 [15，359（1998）]，偏振和和偏振差是通过具有正交偏振方向分布的场景的两个正交取向的线性偏振器拍摄的图像的最佳线性组合对。但是，在许多实际环境中，场景的偏振方向分布不均匀。使用场景偏振统计的主成分分析，我们开发了一种方法来确定权重系数不相等的两个最佳信息通道，这些信息通道可以形成为通过一对不受约束的线性偏振器拍摄的场景图像的线性组合场景的水平和垂直方向。我们确定可增强目标与背景分离的线性偏振滤镜的最佳方向，其中目标被定义为与背景相比具有不同偏振特征的区域。实验结果证实，在大多数情况下，自适应PDI的性能优于固定通道的常规PDI。

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