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Imaging of polarized target in underwater environment

机译:水下环境中极化目标的成像

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Imaging of underwater targets is challenging because of the significant attenuation of the propagating light field due to the absorption and scattering by water and suspended/dissolved matter. Some living and manmade objects in water have surfaces which partially polarize the light, whose properties can be used to camouflage or, conversely, to detect such objects. The attenuation of light by the intervening water (so-called veiling light) changes both the intensity and polarization characteristics at each pixel of the image, but does not contain any information about the target and contributes to image degradation and blurring. Its properties need to be understood in order to isolate the true optical signature of the target. The main goal of this study is to retrieve the polarization characteristics of the target from the image in different water environmental and illumination conditions by taking into account coincidentally measured inherent water optical properties (IOPs) during recent field campaigns outside the Chesapeake Bay and in New York Bight. Data, in the form of images and videos, were acquired using a green-band full-Stokes polarimetric video camera. Analysis of the acquired images show reasonable agreement in Stokes vector components with the measurements by the underwater polarimeter and modeled polarized signals. In addition, Stokes vector components of the veiling light were also estimated and compared with the models. Finally, retrieval of the attenuation coefficient for the light from the target is attempted from the measurements and compared with the results of the independent measurements of IOPs.
机译:水下目标的成像具有挑战性,因为由于水和悬浮/溶解物质的吸收和散射,传播的光场显着衰减。水中的某些生物和人造物体的表面会部分偏振光,其性质可用于伪装或反之以检测此类物体。中间水对光的衰减(所谓的面纱光)会改变图像每个像素处的强度和偏振特性,但不包含有关目标的任何信息,并且会导致图像退化和模糊。为了隔离靶标的真实光学特征,需要了解其特性。这项研究的主要目的是通过考虑切萨皮克湾外和纽约最近的野战期间同时测量的固有水光学特性(IOP),从不同水环境和光照条件下从图像中获取目标的偏振特性。拳头使用绿色波段的全斯托克斯(Stokes)偏振视频摄像机获取图像和视频形式的数据。对所采集图像的分析表明,斯托克斯矢量分量与水下偏振计和建模偏振信号的测量值具有合理的一致性。此外,还估算了遮荫光的斯托克斯矢量分量,并将其与模型进行了比较。最后,尝试从测量结果中获取来自目标的光的衰减系数,并将其与IOP的独立测量结果进行比较。

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