MCT-based SWIR hyperspectral imaging system for evaluation of biological samples

机译：基于MCT的SWIR高光谱成像系统，用于评估生物样品

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Hyperspectral imaging has been shown to be a powerful tool for nondestructive evaluation of biological samples. We recently developed a new line-scan-based shortwave infrared (SWIR) hyperspectral imaging system. Critical sensing components of the system include a SWIR spectrograph, an MCT (HgCdTe) array detector, and a custom-designed illumination source. The system has an effective imaging range from 900 nm to 2500 nm. In this paper, we present SWIR hyperspectral images of plant leaves and fruits, and preliminary SWIR image analysis results.

机译：高光谱成像已被证明是对生物样品进行非破坏性评估的强大工具。我们最近开发了一种新的基于线扫描的短波红外（SWIR）高光谱成像系统。该系统的关键传感组件包括SWIR光谱仪，MCT（HgCdTe）阵列检测器和定制设计的照明源。该系统的有效成像范围为900 nm至2500 nm。在本文中，我们介绍了植物叶片和果实的SWIR高光谱图像，以及初步的SWIR图像分析结果。

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来源
《Sensing for Agriculture and Food Quality and Safety VIII》|2016年|986410.1-986410.7|共7页
会议地点 Baltimore MD(US)
作者
Seok Min Hong; Hoonsoo Lee; Insuck Baek; Moon S. Kim;
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作者单位

Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA,Electro-Optics Technology Directorate, Agency for Defense Development, Daejeon 34188, Republic of Korea;

Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA;

Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA;

Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705, USA;

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原文格式 PDF
正文语种 eng
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关键词
Hyperspectral; short wave infrared; detection; classification;

机译：高光谱;短波红外检测;分类;

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机译：分析土壤空间采样对数字土壤映射模型性能的影响及评价：粘土内容中粘土内容的量化随机林数值实验
2. Detection of melamine in milk powder using MCT-based short-wave infrared hyperspectral imaging system [J] . Hoonsoo Lee, Moon S. Kim, Santosh Lohumi, Food additives & contaminants . 2018,第6期

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3. Evaluating the sensitivity of clay content prediction to atmospheric effects and degradation of image spatial resolution using Hyperspectral VNIR/SWIR imagery [J] . Gomez C., Oltra-Carrio R., Bacha S., Remote Sensing of Environment: An Interdisciplinary Journal . 2015,第Null期

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4. MCT-based SWIR hyperspectral imaging system for evaluation of biological samples [C] . Seok Min Hong, Hoonsoo Lee, Insuck Baek, Conference on Sensing for Agriculture and Food Quality and Safety VIII . 2016

机译：基于MCT的SWIR高光谱成像系统，用于评估生物样品
5. Hyperspectral and filter-based Raman microscopy and imaging: Design and evaluation of practical imaging systems. [D] . Christensen, Kenneth Alan. 1997

机译：高光谱和基于滤镜的拉曼显微镜和成像：实际成像系统的设计和评估。
6. Evaluation of the Data Quality from a Round-Robin Test of Hyperspectral Imaging Systems [O] . Ruven Pillay, Marcello Picollo, Jon Yngve Hardeberg, 2020

机译：从高光谱成像系统的循环试验中评估数据质量
7. Evaluation of growth characteristics ofAspergillus parasiticusinoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging [O] . Xuan Chu, Wei Wang, Xinzhi Ni, 2018

机译：用短波红外线（SWIR）高光谱成像评价不同培养基中的血红素植物植物梗死的生长特性

MCT-based SWIR hyperspectral imaging system for evaluation of biological samples

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