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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Shaohua Wang, Xuting Yang, Jiayi Zheng, Haojian Liang, Zixuan Zhao, Bing Zhang, Quanming Wang, Jiming Yuan
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Нөхцлүүд:	Deep learning gold exploration hyperspectral remote sensing multichannel U-net (MC-UNet) mineral prospectivity mapping (MPM) Siguiri Basin
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11480783/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!