This work describes a knowledge-guided clustering approach for mineral potential mapping (MPM), by which the optimum number of clusters is derived form a knowledge-driven methodology through a concentration-area (C-A) multifractal analysis. To implement the proposed approach, a case study at the North Narbaghi region in the Saveh, Markazi province of Iran, was investigated to discover porphyry ...

Reduction of aeromagnetic noise and extraction mineralization-related residual anomalies are critical for data processing in mineral exploration. This study introduced a multifractal singular value decomposition (MSVD) method to remove the improved bi-dimensional empirical mode (BEMD) algorithm extract magnetic anomalies. It is shown that MSVD BEMD could effectively reduce Then, wavenumber–doma...