Detection of the multivariate geochemical anomalies associated with mineralization using a deep convolutional neural network and a pixel-pair feature method

• Published in: Applied geochemistry Vol. 130; p. 104994
• Main Authors: Zhang, Chunjie, Zuo, Renguang, Xiong, Yihui
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2021
• Subjects: China; Convolutional neural network; Deep learning; Geochemical anomalies; geochemistry; Mineral exploration; mineralization; neural networks; Pixel-pair feature method; probability; China; Geochemical anomalies; Deep learning; Mineral exploration; Pixel-pair feature method; Convolutional neural network

Machine learning (ML) algorithms are widely applied in various fields owing to their strong ability to abstract high-level features from a large number of training samples. However, few supervised ML algorithms have been applied in geochemical prospecting and mineral exploration because mineralizati...