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Remote-sensing mineral exploration is critical for identifying economically viable mineral deposits, yet it poses significant challenges for multimodal large language models (MLLMs).
Remote sensing for mineral exploration
Floyd F Sabins. 1999 · 1999
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Multi-and hyperspectral geologic remote sensing: A review
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Michael Dentith and Stephen T Mudge. 2014 · 2014
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Using the geoscience australia-csiro aster maps and airborne geophysics to explore australian geoscience
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Alteration mapping for porphyry copper exploration using aster and quickbird multispectral images, sonajeel prospect, nw iran
Zahra Yazdi, Alireza Jafari Rad, Mehraj Aghazadeh, and Peyman Afzal. 2018 · 2018
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The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation
Davide Chicco and Giuseppe Jurman. 2020 · 2020
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Introduction to the special issue challenges for mineral exploration in the 21st century: Targeting mineral deposits under cover
Ignacio Gonzalez-Alvarez, MA Goncalves, and Emmanuel John M Carranza. 2020 · 2020
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Zhongliang Ren, Lin Sun, and Qiuping Zhai. 2020 · 2020
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Identifying high potential zones of gold mineralization in a sub-tropical region using landsat-8 and aster remote sensing data: a case study of the ngoura-colomines goldfield, eastern cameroon
Jonas Didero Takodjou Wambo, Amin Beiranvand Pour, Sylvestre Ganno, Paul D Asimow, Basem Zoheir, Rodrigo dos Reis Salles, Jean Paul Nzenti, Biswajeet Pradhan, and Aidy M Muslim. 2020 · 2020
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Geodata science-based mineral prospectivity mapping: A review
Renguang Zuo. 2020 · 2020
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Automated lithology classification from drill core images using convolutional neural networks
Fatimah Alzubaidi, Peyman Mostaghimi, Pawel Swietojanski, Stuart R Clark, and Ryan T Armstrong. 2021 · 2021
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