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用开源 Python 实现的 DIY 高光谱成像仪。

A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python.

机构信息

Faculty of Information Technology, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.

出版信息

Sensors (Basel). 2021 Feb 4;21(4):1072. doi: 10.3390/s21041072.

DOI:10.3390/s21041072
PMID:33557263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7915091/
Abstract

Commercial hyperspectral imagers (HSIs) are expensive and thus unobtainable for large audiences or research groups with low funding. In this study, we used an existing do-it-yourself push-broom HSI design for which we provide software to correct for spectral smile aberration without using an optical laboratory. The software also corrects an aberration which we call tilt. The tilt is specific for the particular imager design used, but correcting it may be beneficial for other similar devices. The tilt and spectral smile were reduced to zero in terms of used metrics. The software artifact is available as an open-source Github repository. We also present improved casing for the imager design, and, for those readers interested in building their own HSI, we provide print-ready and modifiable versions of the 3D-models required in manufacturing the imager. To our best knowledge, solving the spectral smile correction problem without an optical laboratory has not been previously reported. This study re-solved the problem with simpler and cheaper tools than those commonly utilized. We hope that this study will promote easier access to hyperspectral imaging for all audiences regardless of their financial status and availability of an optical laboratory.

摘要

商业高光谱成像仪(HSI)价格昂贵,因此对于资金有限的大型受众或研究团体来说是无法获得的。在本研究中,我们使用了现有的 DIY 推扫式 HSI 设计,并提供了软件来校正光谱彗差,而无需使用光学实验室。该软件还校正了一种我们称之为倾斜的像差。这种倾斜是特定于所使用的特定成像仪设计的,但对其他类似设备进行校正可能会有所帮助。使用的度量标准将倾斜和光谱彗差减少到零。该软件的伪影可作为开源 Github 存储库获得。我们还为成像仪设计提供了改进的外壳,对于那些有兴趣自行构建 HSI 的读者,我们提供了制造成像仪所需的 3D 模型的可打印和可修改版本。据我们所知,以前没有报道过在没有光学实验室的情况下解决光谱彗差校正问题。本研究使用比常用工具更简单、更便宜的工具解决了这个问题。我们希望这项研究将促进所有受众更容易获得高光谱成像,而不受其财务状况和光学实验室可用性的限制。

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Laboratory Hyperspectral Image Acquisition System Setup and Validation.实验室高光谱图像采集系统的设置和验证。
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