Mapping Afghanistan’s Mineral Diversity With NASA EMIT Hyperspectral Data: Spatial–Spectral Transformer Versus CNN for Geo-Mineralogical Classification

Hyperspectral imaging is a crucial technology in mineral exploration, offering the potential to record and analyze spectral bands that reveal the actual composition of the features of the Earth’s surface. Although significant progress has been made in remote-sensing-based mineral exploration,...

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Bibliografski detalji

Glavni autori:	Noshab Gul, Jaroslav Frnda, Nasru Minallah, Madiha Sher
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Teme:	Convolutional neural network (CNN) hyperspectral imaging (HSI) mineral exploration transformer
Online pristup:	https://ieeexplore.ieee.org/document/11483311/
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