研究论文
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns
Saeid Esmaeiloghli, Seyed Hassan Tabatabaei, Shahram Hosseini, Yannick Deville, Emmanuel John M. Carranza
Centre National de la Recherche Scientifique Université Toulouse III - Paul Sabatier Isfahan University of Technology Observatoire Midi-Pyrénées
来源Mathematical Geosciences
年份2023
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学术脉络
学科主题
计算机 / AIGeochemistry and Geologic Mapping
Blind Source Separation Techniques · Spectroscopy and Chemometric Analyses
参考文献 86
Integrated Spatial and Spectrum Method for Geochemical Anomaly Separation
被引 358Qiuming Cheng, Yaguang Xu, Eric C. Grunsky · Natural Resources Research · 2000
Supervised geochemical anomaly detection by pattern recognition
被引 104Arman Mohammadi Gonbadi, Seyed Hassan Tabatabaei, Emmanuel John M. Carranza · Journal of Geochemical Exploration · 2015
Ore Deposit Geology and its Influence on Mineral Exploration
被引 45Richard Lawrence Edwards, Keith Atkinson · 1986
此处列出前 3 条
引用本文 13
A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
被引 35Zeinab Soltani, Hossein Hassani, Saeid Esmaeiloghli · Computers & Geosciences · 2024
Lithium exploration targeting through robust variable selection and deep anomaly detection: An integrated application of sparse principal component analysis and stacked autoencoders
被引 33Saeid Esmaeiloghli, ALEXANDRE ANTÔNIO DE LIMA JUNIOR, Behnam Sadeghi · Geochemistry · 2024
Enhanced prediction of copper-polymetallic deposits in the Kalatag mining district using integrated SVM and GIS technology
被引 21Wei Xi, YuanYe Ping, Jintao Tao · Earth Science Informatics · 2024
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