An improved extreme learning machine algorithm for prospectivity mapping of copper deposits using multi-source remote sensing data: a case study in the North Altyn Tagh, Xinjiang, China
- DOI
- 10.1080/17538947.2025.2510567
- Published
- 2025-05-29
- Container
- International Journal of Digital Earth
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/17538947.2025.2510567,
title = {An improved extreme learning machine algorithm for prospectivity mapping of copper deposits using multi-source remote sensing data: a case study in the North Altyn Tagh, Xinjiang, China},
author = {Boqi Yuan and Qinjun Wang and Wentao Xu and Chaokang He and Wenyue Xie},
year = {2025},
journal = {International Journal of Digital Earth},
doi = {10.1080/17538947.2025.2510567},
url = {https://doi.org/10.1080/17538947.2025.2510567}
}RIS
TY - JOUR TI - An improved extreme learning machine algorithm for prospectivity mapping of copper deposits using multi-source remote sensing data: a case study in the North Altyn Tagh, Xinjiang, China AU - Boqi Yuan AU - Qinjun Wang AU - Wentao Xu AU - Chaokang He AU - Wenyue Xie PY - 2025 JO - International Journal of Digital Earth DO - 10.1080/17538947.2025.2510567 UR - https://doi.org/10.1080/17538947.2025.2510567 ER -
APA
Yuan, B., Wang, Q., Xu, W., He, C., & Xie, W. (2025). An improved extreme learning machine algorithm for prospectivity mapping of copper deposits using multi-source remote sensing data: a case study in the North Altyn Tagh, Xinjiang, China. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2025.2510567
Source records
- crossref · retrieved 2026-11-10T11:55:43.158Z