Conference Proceedings - World Mining Congress 2026

148 Since smaller distances indicate higher similarity, the distance values were transformed into a normalized similarity index ranging from 0 to 1: J ) =1− 4) −4-)$ 4-5( −4-)$ 5.3. Prospectivity Map Generation The similarity values were spatially reassigned to their corresponding locations using a sliding window framework. To improve computational efficiency, predictions were performed using a stride of 10 pixels. A linear interpolation was subsequently applied to estimate similarity values at intermediate pixel locations. This process enabled the reconstruction of a smooth, high-resolution prospectivity map across the study area (See Figure 7). 6. VALIDATION STRATEGY Model validation was conducted using 60 known porphyry deposits in the eastern sector, excluded from the signature extraction to provide an unbiased test of spatial generalization. 6.1. Detection Criterion A deposit was considered detected if its location in the prospectivity map showed similarity ≥ 0.80, defining high-confidence anomalies resembling the learned porphyry signature.

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