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Modeling of high-Z materials detection in assessing brightness/density ratios and their impact on detection accuracy

机译:用于评估亮度/密度比的高Z材料检测建模及其对检测精度的影响

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Smuggling of radioactive materials and special nuclear materials (SNM) present a concern to national and global nuclear security. Due to weak signals, nuclear materials are not easily detected and numerous techniques were developed addressing issues related to illicit trafficking across the borders. In this paper, we present a numerical model for high-Z radiographic-based detection in cargo scanning for a search of hidden weak-signaling nuclear materials in assessing the effect of brightness ratios on accuracy of this method. This numerical model is attempted to present a new direction in improving the accuracy of cargo inspections by distinguishing the high-Z materials such as shielding materials (always the high-Z), or SNM, from all other materials (that could as well be in the group of high-Z) present in an examined volume of a cargo container. Gamma/X-ray radiography is widely established method to scan the interiors of cargo containers. However, processing of such radiographic images employs only 2-D radiography images. This presents a challenging limitation for an accurate discrimination between high-Z to medium-Z to low-Z materials. To address these shortcomings, we developed a new approach (demonstrated using numerical mirroring of the real scanning of cargo containers) based on two orthogonal radiography images in providing brightness and thickness of an observed volume. An empirical formula using these two variables is then derived to estimate what is a density of a scanned material in the interior of a cargo container. In addition to this empirical formula, a discrimination threshold for high-density materials is suggested in possibly providing new aspects of improvements in real scanning systems.
机译:放射性材料和特殊核材料(SNM)的走私使国家和全球核安全受到关注。由于信号微弱,核材料不易被发现,因此开发了许多技术来解决与越境非法贩运有关的问题。在本文中,我们提出了一种用于货物扫描中基于高Z射线照相的检测的数值模型,以寻找隐藏的弱信号核材料,以评估亮度比对该方法准确性的影响。通过将诸如屏蔽材料(始终为高Z)或SNM之类的高Z材料与所有其他材料(也可能是其他材料)区分开来,试图通过此数值模型为提高货物检查的准确性提出新的方向。存在于检查的货柜中的一组高Z)。伽玛射线/ X射线照相术是扫描货物集装箱内部的广泛建立的方法。但是,这种放射线图像的处理仅采用2-D放射线图像。这对于在高Z到中Z到低Z的材料之间进行精确区分提出了挑战性的限制。为了解决这些缺点,我们基于两个正交的放射线图像,开发了一种新方法(使用对货物集装箱的实际扫描的数值镜像进行演示),以提供所观察到的体积的亮度和厚度。然后,得出使用这两个变量的经验公式,以估计货柜内部扫描材料的​​密度是多少。除此经验公式外,还建议使用高密度材料的判别阈值,以提供可能改善实际扫描系统的新方面。

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