首页|期刊导航|Natural Gas Industry B|Mineral identification in thin sections using a lightweight and attention mechanism

Mineral identification in thin sections using a lightweight and attention mechanism

Xin Zhang Wei Dang Jun Liu Zijuan Yin Guichao Du Yawen He Yankai Xue

Natural Gas Industry B2025，Vol.12Issue(2)：P.135-146,12.

Natural Gas Industry B2025，Vol.12Issue(2)：P.135-146,12.DOI:10.1016/j.ngib.2025.03.001

Mineral identification in thin sections using a lightweight and attention mechanism

Xin Zhang ¹Wei Dang ¹Jun Liu ²Zijuan Yin ³Guichao Du ¹Yawen He ⁴Yankai Xue¹

作者信息

1. School of Earth Sciences and Engineering,Xi''an Shiyou University,Xi''an 710065,China Shaanxi Key Laboratory of Petroleum Accumulation Geology,Xi''an Shiyou University,Xi''an 710065,China
2. Sulige Gasfield Development Company,PCOC,Xi''an,Shaanxi 710018,China
3. College of Materials Science and Engineering,Shanghai University of Engineering Science,Shanghai,201620,China
4. Department of Geology,Northwest University,Xi''an 710069,China State Key Laboratory of Continental Dynamics,Northwest University,Xi''an 710069,China
折叠

摘要

关键词

Deep learning/Neural networks/Lightweight models/Attention mechanisms/Mineral identification

分类

信息技术与安全科学

引用本文复制引用

Xin Zhang,Wei Dang,Jun Liu,Zijuan Yin,Guichao Du,Yawen He,Yankai Xue..Mineral identification in thin sections using a lightweight and attention mechanism[J].Natural Gas Industry B,2025,12(2):P.135-146,12.

基金项目

supported by the National Natural Science Foundation of China(42202175). （42202175）

Natural Gas Industry B

ISSN：2352-8540

访问量0

下载量0

段落导航