世界有色金属Issue(9)：19-21,3.
基于深度学习的多源地学数据融合在矿产资源潜力评价中的应用研究
Application Research of Multi-source Geological Data Fusion Based on Deep Learning in Mineral Resource Potential Evaluation
农仕华 1王帆博 2甘能俭1
作者信息
- 1. 广西壮族自治区矿产资源储量评审中心,广西 南宁 530028
- 2. 广西山源矿业信息咨询服务有限公司,广西 南宁 530000
- 折叠
摘要
Abstract
Mineral resource potential evaluation is an important part of mineral geological exploration work.How to use deep learning based multi-source geological data fusion results to assist in the application and research of mineral geological exploration work is also a topic of concern for mineral geological practitioners.Based on my own work experience,the author summarizes and studies this method,providing new ideas for mining geological exploration methods.关键词
矿山资源/多源地学数据融合/潜力评价/应用研究Key words
mining resources/Multi source geological data fusion/Potential evaluation/applied research分类
天文与地球科学引用本文复制引用
农仕华,王帆博,甘能俭..基于深度学习的多源地学数据融合在矿产资源潜力评价中的应用研究[J].世界有色金属,2026,(9):19-21,3.
