Paper
18 December 2019 Research on classification and recognition method of coal and coal gangue based spectral imaging micro-system
Author Affiliations +
Proceedings Volume 11337, AOPC 2019: Optical Spectroscopy and Imaging; 1133716 (2019) https://doi.org/10.1117/12.2547847
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
Spectral imaging technology is a information acquisition method that can obtain three-dimensional information of the object, which is widely used in remote sensing, material classification and other fields. Spectral imaging micro-system is a compact, low-cost spectral imaging system based on structure of single-chip integration. It is suitable for utilizing on unmanned airborne and has a good prospect in the field of geological exploration and mineral classification. Coal gangue is a kind of gray rock associated with coal, which is also a kind of solid waste in mining industry. Due to demand of environmental monitoring and effective mining, it is urgent to effectively monitor the distribution of coal in minerals. This study carries out the experiment on classification of coal and coal gangue samples with the spectral imaging micro-system of visible-near-infrared spectrum. And experimental results show that 80% of the pixels in the sample can be accurately classified.
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Anna Zhao, Shuyang Liu, Chen Zhang, and Xiaodong Jia "Research on classification and recognition method of coal and coal gangue based spectral imaging micro-system", Proc. SPIE 11337, AOPC 2019: Optical Spectroscopy and Imaging, 1133716 (18 December 2019); https://doi.org/10.1117/12.2547847
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KEYWORDS
Imaging spectroscopy

Sensors

Image sensors

Mining

Minerals

Reflectivity

CMOS sensors

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