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Compact snapshot image mapping spectrometer (SNAP-IMS) for hyperspectral data cube acquisition using unmanned aerial vehicle (UAV) environmental imaging

机译:紧凑型快照图像映射光谱仪(SNAP-IMS),用于使用无人机(UAV)环境成像进行高光谱数据立方体采集

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Due to the growth of miniature unmanned aerial vehicles (UAVs) and small spacecraft (SmallSats) in recent years, there has been a push for the development of miniaturized spectral imagers to be incorporated with them. An efficient, compact hyperspectral imager integrated with these vehicles provides a cost-effective platform for environmental sensing applications that include the monitoring of agriculture, vegetation, geology, and pollutants. We present here the development and integration of a hyperspectral imaging system called the SNAP-IMS, originally used for biomedical detection, with an Octocopter UAV. The entire collected hyperspectral data cube is 350×400×55 (x.y,λ) spatial/spectral samples. The final system enclosure (288 mm × 150 mm × 160 mm) weighs 3.6 kg (7.9 lbs), offering minimal size and weight. The payload"s power consumption is marginal as there are no mechanical scanning components; the existing power requirements are dedicated exclusively to CCD frame acquisition. Experimental testing included several flights on board the Octocopter UAV, acquiring hyperspectral data cubes at 1/100 second. Snapshot mode and short integration times mitigate motion artifacts. The low size, weight, and power consumption can offer longer and higher flights at smaller drone sizes. These improvements augment the potential for additional instrument incorporation (i.e. LiDAR, Multi-spectral IR) in the future. Imaging results and system description are presented and discussed.
机译:近年来,由于微型无人飞行器(UAV)和小型航天器(SmallSats)的发展,推动了将微型光谱成像仪与之结合的发展。与这些车辆集成在一起的高效,紧凑的高光谱成像仪为包括农业,植被,地质和污染物监测在内的环境传感应用提供了一个经济高效的平台。我们在这里介绍一种称为SNAP-IMS的高光谱成像系统的开发和集成,该系统最初用于生物医学检测,并且是八角形无人机。整个收集的高光谱数据立方体为350×400×55(x.y,λ)空间/光谱样本。最终系统机箱(288毫米×150毫米×160毫米)重3.6千克(7.9磅),提供最小的尺寸和重量。有效载荷的功耗很小,因为没有机械扫描组件;现有的功耗要求专门用于CCD帧采集。实验测试包括在Octocopter UAV上进行多次飞行,以1/100秒的速度采集高光谱数据立方体。模式和较短的集成时间减轻了运动伪影。较小的尺寸,重量和功耗可在较小的无人机尺寸下提供更长和更高的飞行距离。这些改进增加了将来进一步集成仪器的潜力(例如LiDAR,多光谱红外)提出并讨论了成像结果和系统描述。

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