Geochemical Fields Are Imagery, and How to Integrate Geochemical Data and Geological Settings Using Visual Machine Learning
摘要
We consider the regional geochemical field as imagery, and on this basis, we intend to demonstrate the feasibility of integrate geochemical dataset with geological settings using algebraic operations or machine learning methods previously used in computer vision, and our findings show that such an integration facilitates locating potential ore-induced anomalies.