| Reference Type | Journal (article/letter/editorial) |
|---|
| Title | Optimized Hydrothermal Alteration Mapping in Porphyry Copper Systems Using a Hybrid DWT-2D/MAD Algorithm on ASTER Satellite Remote Sensing Imagery |
|---|
| Journal | Minerals |
|---|
| Authors | Kalkhoran, Samane Esmaelzade | Author |
|---|
| Ghannadpour, Seyyed Saeed | Author |
| Pour, Amin Beiranvand | Author |
| Year | 2025 | Volume | < 15 > |
|---|
| Issue | < 6 > |
|---|
| URL | |
|---|
| DOI | doi:10.3390/min15060626Search in ResearchGate |
|---|
| Generate Citation Formats |
|---|
| Classification | Not set | LoC | Not set |
|---|
| Mindat Ref. ID | 18530910 | Long-form Identifier | mindat:1:5:18530910:7 |
|---|
|
| GUID | 0 |
|---|
| Full Reference | Kalkhoran, Samane Esmaelzade; Ghannadpour, Seyyed Saeed; Pour, Amin Beiranvand (2025) Optimized Hydrothermal Alteration Mapping in Porphyry Copper Systems Using a Hybrid DWT-2D/MAD Algorithm on ASTER Satellite Remote Sensing Imagery. Minerals, 15 (6). doi:10.3390/min15060626 |
|---|
| Plain Text | Kalkhoran, Samane Esmaelzade; Ghannadpour, Seyyed Saeed; Pour, Amin Beiranvand (2025) Optimized Hydrothermal Alteration Mapping in Porphyry Copper Systems Using a Hybrid DWT-2D/MAD Algorithm on ASTER Satellite Remote Sensing Imagery. Minerals, 15 (6). doi:10.3390/min15060626 |
|---|
| In | Link this record to the correct parent record (if possible) |
|---|
| Abstract/Notes | Copper is typically acknowledged as a critical mineral and one of the vital components of various of today’s fast-growing green technologies. Porphyry copper systems, which are an important source of copper and molybdenum, typically consist of large volumes of hydrothermally altered rocks, mainly around porphyry copper intrusions. Mapping hydrothermal alteration zones associated with porphyry copper systems is one of the most important indicators for copper exploration, especially using advanced satellite remote sensing technology. This paper presents a sophisticated remote sensing-based method that uses ASTER satellite imagery (SWIR bands 4 to 9) to identify hydrothermal alteration zones by combining the discrete wavelet transform (DWT) and the median absolute deviation (MAD) algorithms. All six SWIR bands (bands 4–9) were analyzed independently, and band 9, which showed the most consistent spatial patterns and highest validation accuracy, was selected for final visualization and interpretation. The MAD algorithm is effective in identifying spectral anomalies, and the DWT enables the extraction of features at different scales. The Urmia–Dokhtar magmatic arc in central Iran, which hosts the Zafarghand porphyry copper deposit, was selected as a case study. It is a hydrothermal porphyry copper system with complex alteration patterns that make it a challenging target for copper exploration. After applying atmospheric corrections and normalizing the data, a hybrid algorithm was implemented to classify the alteration zones. The developed classification framework achieved an accuracy of 94.96% for phyllic alteration and 89.65% for propylitic alteration. The combination of MAD and DWT reduced the number of false positives while maintaining high sensitivity. This study demonstrates the high potential of the proposed method as an accurate and generalizable tool for copper exploration, especially in complex and inaccessible geological areas. The proposed framework is also transferable to other porphyry systems worldwide. |
|---|
These are possibly similar items as determined by title/reference text matching only.
