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The Use of Gamma-Ray Imaging to Improve Portal Monitor Performance

机译:使用伽马射线成像提高门户监控器性能

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摘要

We have constructed a prototype, rapid-deployment portal monitor that uses visible-light and gamma-ray imaging to allow simultaneous monitoring of multiple lanes of traffic from the side of a roadway. Our Roadside Tracker uses automated target acquisition and tracking (TAT) software to identify and track vehicles in visible light images. The field of view of the visible camera overlaps with and is calibrated to that of a one-dimensional gamma-ray imager. The TAT code passes information on when vehicles enter and exit the system field of view and when they cross gamma-ray pixel boundaries. Based on this information, the gamma-ray imager “harvests” the gamma-ray data specific to each vehicle, integrating its radiation signature for the entire time that it is in the field of view. In this fashion we are able to generate vehicle-specific radiation signatures and avoid source confusion problems that plague nonimaging approaches to the same problem.
机译:我们构建了一个原型,快速部署的门户监控器,该监控器使用可见光和伽马射线成像,以便可以同时监控从车道侧面驶入的多个车道。我们的路边跟踪器使用自动目标获取和跟踪(TAT)软件来识别和跟踪可见光图像中的车辆。可见相机的视场与一维伽马射线成像器的视场重叠并被校准。 TAT代码传递有关车辆何时进入和离开系统视野以及何时跨越伽马射线像素边界的信息。基于此信息,伽马射线成像仪会“收获”特定于每辆车的伽马射线数据,并在其整个视场时间内对其辐射特征进行积分。通过这种方式,我们能够生成特定于车辆的辐射特征,并避免困扰非成像方法解决同一问题的源混淆问题。

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