Gold Prospectivity Mapping Based on the Integration of ZY-1 02D Hyperspectral Imagery and Deep Learning in the Siguiri Basin, West Africa

To address the challenge of detecting concealed gold deposits beneath the thick lateritic cover of the Siguiri Basin, Guinea, this article establishes a novel prospectivity mapping framework via the synergistic integration of ZY-1 02D hyperspectral imagery and a multichannel U-net architecture. By l...

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Detalles Bibliográficos

Principais autores:	Shaohua Wang, Xuting Yang, Jiayi Zheng, Haojian Liang, Zixuan Zhao, Bing Zhang, Quanming Wang, Jiming Yuan
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2026-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Deep learning gold exploration hyperspectral remote sensing multichannel U-net (MC-UNet) mineral prospectivity mapping (MPM) Siguiri Basin
Acceso en liña:	https://ieeexplore.ieee.org/document/11480783/
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