A study of the remote sensing ore prognostic method based on a data-driven model

Abstract：Based on the alteration mineral information derived from the ASTER data, combined with a typical ore-prospecting model, the authors studied the ore prognostic method that utilized the data-driven model and remote sensing data obtained from Yanyuan area, Sichuan Province. Different logical models were used to analyze alteration mineral abundances and oxide contents on the basis of such means as Bool logic, overlay index and fuzzy logical method. As a result, the prospecting target was delineated, and the interpretation result was well verified in field work.