A Real-Time Multilevel Fusion Recognition System for Coal and Gangue Based on Near-Infrared Sensing

A Real-Time Multilevel Fusion Recognition System for Coal and Gangue Based on Near-Infrared Sensing

Coal is an indispensable energy source for humans. As an important part of the mining industry, intelligent separation of coal and gangue will promote development. The traditional methods of recognition do not consider the interference created by a dynamic environment. There are many problems such a...

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Bibliographic Details
Main Authors: Zihao Ding, Guodong Chen, Zheng Wang, Wenzheng Chi, Zhenhua Wang, Yulin Fan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Coal
near-infrared
sensing and fusion
separation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9204614/

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