利用可见近红外超光谱成像技术识别煤炭和煤矸石

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research 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

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.