Share Email Print
cover

Proceedings Paper

Research on classification and recognition method of coal and coal gangue based spectral imaging micro-system
Author(s): Anna Zhao; Shuyang Liu; Chen Zhang; Xiaodong Jia
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11337, AOPC 2019: Optical Spectroscopy and Imaging, 1133716 (18 December 2019); doi: 10.1117/12.2547847
Show Author Affiliations
Anna Zhao, Tianjin Jinhang Institute of Technical Physics (China)
Shuyang Liu, Tianjin Jinhang Institute of Technical Physics (China)
Chen Zhang, Tianjin Jinhang Institute of Technical Physics (China)
Xiaodong Jia, Tianjin Jinhang Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 11337:
AOPC 2019: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Vincenzo Palleschi; Mengxia Xie; Yuegang Fu, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray