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使用低成本组件的高分辨率高光谱成像:在环境监测场景中的应用。

High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios.

机构信息

Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.

Department of Geography, University of Sheffield, Sheffield S10 2TN, UK.

出版信息

Sensors (Basel). 2022 Jun 20;22(12):4652. doi: 10.3390/s22124652.

Abstract

High-resolution hyperspectral imaging is becoming indispensable, enabling the precise detection of spectral variations across complex, spatially intricate targets. However, despite these significant benefits, currently available high-resolution set-ups are typically prohibitively expensive, significantly limiting their user base and accessibility. These limitations can have wider implications, limiting data collection opportunities, and therefore our knowledge, across a wide range of environments. In this article we introduce a low-cost alternative to the currently available instrumentation. This instrument provides hyperspectral datasets capable of resolving spectral variations in mm-scale targets, that cannot typically be resolved with many existing low-cost hyperspectral imaging alternatives. Instrument metrology is provided, and its efficacy is demonstrated within a mineralogy-based environmental monitoring application highlighting it as a valuable addition to the field of low-cost hyperspectral imaging.

摘要

高分辨率高光谱成像是不可或缺的,它能够精确地检测复杂、空间复杂目标的光谱变化。然而,尽管有这些显著的优势,目前可用的高分辨率设置通常过于昂贵,大大限制了它们的用户基础和可及性。这些限制可能会产生更广泛的影响,限制了在广泛环境中的数据收集机会,从而限制了我们的知识。在本文中,我们引入了一种低成本的替代目前可用仪器的方法。该仪器提供了高光谱数据集,能够解析毫米级目标的光谱变化,而许多现有的低成本高光谱成像替代品通常无法解析这些变化。提供了仪器计量学,并在基于矿物学的环境监测应用中展示了其功效,突出了它作为低成本高光谱成像领域的有价值的补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/9227882/5552bd14c4b7/sensors-22-04652-g001.jpg

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