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Influence of polarization phenomenology on material discriminability using multi-view polarimetric imagery

机译:极化现象学对使用多视场极化图像的材料可分辨性的影响

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摘要

In addition to spectral information acquired by traditional multi/hyperspectral systems, passive electro optical and infrared (EO/IR) polarimetric systems also measure the polarization response of different materials in the scene. Such an imaging modality offers a complete optical description of a surface that can be utilized in identifying objects with complex morphological and camouflaged structures. The polarization property of the radiation from a remotely sensed surface, however, depends on the observation geometry of the system. Therefore, acquiring a polarimetric image in a single viewing direction is not sufficient to improve the material discriminability in the absence of a priori knowledge about the object geometry. Hence, this paper presents a novel multi-view polarimetric system for improving the target-background discriminability. The proposed system takes the approach of imaging the scene in three different viewing directions to infer the physical characteristics of the observed surface by utilizing the angular variation in the polarization response. The sensitivity analysis of the proposed polarimetric system that relates target-background discriminability to various scene related parameters indicates the imaging conditions under which the material discriminability is maximized. Furthermore, scenarios where polarization information can be very useful in improving the target contrast are identified by comparing the detection performance of the proposed system to that of a multispectral system.
机译:除了通过传统的多/高光谱系统获取的光谱信息之外,无源电光和红外(EO / IR)偏振系统还可以测量场景中不同材料的偏振响应。这样的成像模态提供了表面的完整光学描述,该表面可以用于识别具有复杂形态和伪装结构的物体。但是,来自遥感表面的辐射的偏振特性取决于系统的观测几何形状。因此,在缺乏关于物体几何形状的先验知识的情况下,在单个观察方向上获取偏振图像不足以改善材料的可分辨性。因此,本文提出了一种新颖的多视点偏振系统,用于改善目标背景的可分辨性。所提出的系统采用在三个不同观察方向上对场景成像的方法,以通过利用偏振响应中的角度变化来推断被观察表面的物理特性。所提出的偏振系统的灵敏度分析将目标背景可分辨性与各种场景相关参数相关联,从而表明了使材料可分辨性最大化的成像条件。此外,通过将建议系统的检测性能与多光谱系统的检测性能进行比较,可以确定偏振信息在改善目标对比度方面非常有用的场景。

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