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Performance and application of real-time hyperspectral imaging

机译:实时高光谱成像的性能与应用

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Abstract: Hyperspectral imaging is the latest advent in imagingtechnology, providing the potential to extractinformation about the objects in a scene that isunavailable to panchromatic imagers. This increasedutility, however, comes at the cost of tremendouslyincreased data. The ultimate utility of hyperspectralimagery is in the information that can be gleaned fromthe spectral dimension, rather than in thehyperspectral imagery itself. To have the broadestrange of applications, extraction of this informationmust occur in real-time. Attempting to produce andexploit complete cubes of hyperspectral imagery atvideo rates, however, present unique problems for boththe imager and the processor, since data rates arescaled by the number of spectral planes in the cube.MIDIS, the Multi-band Identification and DiscriminationImaging Spectroradiometer, allows both real-time hereare the major design innovations associated withproducing high-speed, high-sensitivity hyperspectralimagers operating in the SWIR and LWIR, and of theelectronics capable of handling data rates up to 160megapixels per second, continuously. Discussion ofreal-time algorithms capable of exploiting the spectraldimension of the imagery is also included. Beyonddesign and performance issues associated with producingand processing hyperspectral imagery at such highspeeds, this paper also discusses applications ofreal-time hyperspectral imaging technology. Exampleimagery includes such problems as detecting counterfeitmoney, inspecting surfaces, and countering CCD. !0
机译:摘要:高光谱成像是成像技术的最新出现,它提供了提取全色成像仪无法获得的场景中物体信息的潜力。但是,这种增加的效用是以大大增加数据为代价的。高光谱图像的最终用途是可以从光谱维度中收集的信息,而不是高光谱图像本身。为了具有最广泛的应用范围,必须实时提取此信息。尝试以视频速率生成和利用完整的高光谱图像立方体,但是,由于数据速率是根据立方体中光谱平面的数量来缩放的,因此对于成像器和处理器而言都存在独特的问题。这既是实时的,又是与生产在SWIR和LWIR中运行的高速,高灵敏度的高光谱成像仪以及能够连续处理高达每秒160兆像素的数据速率的电子设备相关的主要设计创新。还讨论了能够利用图像光谱维度的实时算法。除了以如此高的速度产生和处理高光谱影像的设计和性能问题之外,本文还讨论了实时高光谱影像技术的应用。示例图像包括诸如检测伪钞,检查表面和对CCD的问题。 !0

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