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Infrared thermal image detection method of stressed sandstone fracture based on deep learning

Hai Sun Xinyi Hou Liqiang Ma Wenshuang Gao Kun Wang

Deep Resources Engineering2026，Vol.3Issue(1)：P.44-52,9.

Deep Resources Engineering2026，Vol.3Issue(1)：P.44-52,9.DOI:10.1016/j.deepre.2025.100207

Infrared thermal image detection method of stressed sandstone fracture based on deep learning

Hai Sun ¹Xinyi Hou ²Liqiang Ma ³Wenshuang Gao ²Kun Wang²

作者信息

1. School of Civil Engineering,Liaoning Petrochemical University,Fushun,Liaoning 113001,China Key Laboratory of Xinjiang Coal Resources Green Mining(Xinjiang Institute of Engineering),Ministry of Education,Urumqi 830023,China Xinjiang Engineering Research Center of Green Intelligent Coal Mining,Xinjiang Key Laboratory of Coal-bearing Resources Exploration and Exploitation,Xinjiang Institute of Engineering,Urumqi 830023,China
2. School of Civil Engineering,Liaoning Petrochemical University,Fushun,Liaoning 113001,China
3. Key Laboratory of Xinjiang Coal Resources Green Mining(Xinjiang Institute of Engineering),Ministry of Education,Urumqi 830023,China Xinjiang Engineering Research Center of Green Intelligent Coal Mining,Xinjiang Key Laboratory of Coal-bearing Resources Exploration and Exploitation,Xinjiang Institute of Engineering,Urumqi 830023,China
折叠

摘要

关键词

Rock mass/Crack/Infrared thermal imaging/Convolutional attention mechanism/Deep learning

分类

矿业与冶金

引用本文复制引用

Hai Sun,Xinyi Hou,Liqiang Ma,Wenshuang Gao,Kun Wang..Infrared thermal image detection method of stressed sandstone fracture based on deep learning[J].Deep Resources Engineering,2026,3(1):P.44-52,9.

基金项目

supported by the Project of Liaoning Provincial Department of Education(JYTMS20231458) （JYTMS20231458）

Xinjiang Key Laboratory of Green Mining of Coal resources,Ministry of Education(KLXGYKB2402) （KLXGYKB2402）

the National Natural Science Foundation of China(52464015) （52464015）

the Talent Introduction Scientific Research Start-up Foundation of Liaoning Petrochemical University(2019XJJL-025). （2019XJJL-025）

Deep Resources Engineering

ISSN：2949-9305

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