Research on identification of coal and gangue under complex working conditions based on relief feature-Reference-Cited by-同舟云学术

Research on identification of coal and gangue under complex working conditions based on relief feature

Published:2023-11-19 Issue: Volume: Page:1-16
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Luo Qisheng¹²^ORCID,Wang Shuang³,Guo Yongcun¹²,Li DeYong¹²,He Lei¹²,Cheng Gang¹²

Affiliation:

1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China

2. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China

3. Institute of Energy, HeFei Comprehensive National Science Center, Hefei, China

Funder

The Institute of Energy, Hefei Comprehensive National Science Center

Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology

National Natural Science Foundation of China Project

Anhui Province University Outstanding Youth Research Project

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology,General Chemical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2023.2282633

Reference20 articles.

1. Classification of coal and gangue under multiple surface conditions via machine vision and relief-SVM

2. Effect of water–fog particle size on dust fall efficiency of mechanized excavation face in coal mines

3. Study of raw coal identification method by dual-energy X-ray and dual-view visible light imaging

4. Multispectral Imaging: A New Solution for Identification of Coal and Gangue

5. Image positioning and identification method and system for coal and gangue sorting robot