高光谱成像
计算机科学
商业现货
软件
遥感
计算机视觉
人工智能
环境科学
地质学
程序设计语言
作者
Marie Bøe Henriksen,Joseph L. Garrett,Elizabeth Frances Prentice,Annette Stahl,Tor Arne Johansen,F. Sigernes
标识
DOI:10.1109/whispers.2019.8921350
摘要
The development of a hyperspectral imager (HSI) made from commercial off-the-shelf (COTS) parts enables the use of hyperspectral imaging on smaller low-cost platforms such as cubesats, drones, or other autonomous vehicles. However, HSIs built from COTS parts often suffer from more pronounced optical distortions, such as `smile' and `keystone', due to the shifted balance between cost and image quality. In this proceeding, radiometric, spectral, and geometric calibrations of a COTS HSI are presented. Furthermore, the calibrations are used to develop a real-time software-based spectrogram correction. The corrections will enhance the capability of small, autonomous platforms in using hyperspectral imaging.
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