利用可见近红外超光谱成像技术识别煤炭和煤矸石

IF 1.6 4区化学 Q3 CHEMISTRY, ANALYTICAL

Analytical Letters Pub Date : 2024-04-03 DOI:10.1080/00032719.2024.2335681

Guang-yu Zhou, Qing-liang Zeng, Li-rong Wan, Liang Wang, Guan-tao Xuan, Yuan-yuan Shao

引用次数: 0

摘要

准确、快速地识别煤和煤矸石是有效利用资源和保护环境的关键问题。在这项研究中，可见光和近红外（Vis-NIR）超高分辨技术为煤炭和矸石的识别提供了新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Identification of Coal and Gangue Using Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging

Accurate and rapid identification of coal and gangue is a crucial issue for efficient resource utilization and environmental protection. In this study, visible and near infrared (Vis-NIR) hyperspec...

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来源期刊

Analytical Letters 化学-分析化学

CiteScore

4.10

自引率

5.00%

发文量

218

审稿时长

2.1 months

期刊介绍： Analytical Letters is an international medium for the rapid publication of original research papers, accelerated articles, or mini-reviews on important developments in all areas of analytical chemistry, including electrochemistry, mass spectrometry, separations, and spectroscopy. Papers are welcomed that consider fundamental developments, new or improved instrumentation and sensors, and applications of analytical chemistry in all areas that include biological and clinical science, engineering and instrumentation science, environmental chemistry and analysis, geochemistry, materials science, nanotechnology, and physics.