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Overcoming Adverse Weather Conditions with a Common Optical Path, Multiple Sensors and Intelligent Image Fusion System

机译:借助通用的光路,多个传感器和智能图像融合系统克服恶劣的天气条件

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Mission success is highly dependent on the ability to accomplish Surveillance, Situation Awareness, Target Detection and Classification, but is challenging under adverse weather conditions. This paper introduces an engineering prototype to address the image collection challenges using a Common Optical Path, Multiple Sensors and an Intelligent Image Fusion System, and provides illustrations and sample fusion images. Panavision's advanced wide spectrum optical design has permitted a suite of imagers to perform observations through a common optical path with a common field of view, thereby aligning images and facilitating optimized downstream image processing. The adaptable design also supports continuous zoom or Galilean lenses for multiple field of views. The Multiple Sensors include: (1) High-definition imaging sensors that are small, have low power consumption and a wide dynamic range; (2) EMCCD sensors that transition from daylight to starlight, even under poor weather conditions, with sensitivity down to 0.00025 Lux; and (3) SWIR sensors that, with the advancement in InGaAs, are able to generate ultra-high sensitivity images from 1-1.7μm reflective light and can achieve imaging through haze and some types of camouflage. The intelligent fusion of multiple sensors provides high-resolution color information with previously impossible sensitivity and contrast. With the integration of Field-Programmable Gate Arrays (FPGAs) and Application-Specific Integrated Circuits (ASICs), realtime Image Processing and Fusion Algorithms can facilitate mission success in a small, low power package.
机译:任务的成功高度依赖于完成监视,态势感知,目标检测和分类的能力,但在不利的天气条件下具有挑战性。本文介绍了使用通用光路,多个传感器和智能图像融合系统来解决图像收集挑战的工程原型,并提供了插图和样本融合图像。 Panavision的先进广谱光学设计使一组成像仪能够通过具有共同视场的共同光路进行观察,从而对齐图像并促进优化的下游图像处理。适应性强的设计还支持连续变焦或伽利略镜头,以实现多个视野。多重传感器包括:(1)小型,低功耗和宽动态范围的高清成像传感器; (2)即使在恶劣的天气条件下,EMCCD传感器也可从日光转换为星光,灵敏度低至0.00025 Lux; (3)随着InGaAs的发展,SWIR传感器能够从1-1.7μm反射光生成超高灵敏度图像,并能够通过雾度和某些类型的伪装实现成像。多个传感器的智能融合可提供高分辨率的色彩信息,而以前无法实现的灵敏度和对比度。通过将现场可编程门阵列(FPGA)和专用集成电路(ASIC)集成在一起,实时图像处理和融合算法可以在小型低功耗封装中促进任务成功。

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