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Flight tests of the computational reconfigurable imaging spectrometer
Remote Sensing of Environment ( IF 11.1 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.rse.2019.111621
C.M. Wynn , J. Lessard , A.B. Milstein , P. Chapnik , Y. Rachlin , C. Smeaton , S. Leman , S. Kaushik , R.M. Sullenberger

Abstract We present the first flight data using a Computational Reconfigurable Imaging Spectrometer (CRISP) system. CRISP (Sullenberger et al., 2017) is a novel hyperspectral thermal imaging spectrometer that uses computational imaging to enable high sensitivity measurements (via spectral multiplexing) from smaller, noisier, and less-expensive components (e.g., uncooled microbolometers) making it useful on small space and air platforms with strict size, weight, and power requirements. In contrast to other multiplexing hyperspectral solutions (e.g Michelson interferometer), it does not require moving parts, allowing for a robust system without aggressive engineering solutions. We discuss flight system design and calibration. Spectra from ground targets and gaseous species are compared to performance expectations. We successfully demonstrate the ability to extract airborne longwave infrared (8–12 μm) imagery and spectra from an uncooled camera-based CRISP system.

中文翻译:

计算可重构成像光谱仪的飞行试验

摘要 我们使用计算可重构成像光谱仪 (CRISP) 系统展示了首次飞行数据。CRISP (Sullenberger et al., 2017) 是一种新型的高光谱热成像光谱仪,它使用计算成像从更小、更嘈杂和更便宜的组件(例如非制冷微测辐射热计)实现高灵敏度测量(通过光谱多路复用),使其可用于具有严格尺寸、重量和功率要求的小空间和空中平台。与其他多路复用高光谱解决方案(例如迈克尔逊干涉仪)相比,它不需要移动部件,因此无需激进的工程解决方案即可实现稳健的系统。我们讨论飞行系统设计和校准。将地面目标和气体物质的光谱与性能预期进行比较。
更新日期:2020-03-01
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