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Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.

C. Contreras, M. Khodadadzadeh, P. Ghamisi, and R. Gloaguen. IGARSS, page 2686-2689. IEEE, (2019)

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A Machine Learning Technique for Drill Core Hyperspectral Data Analysis.C. Contreras, M. Khodadadzadeh, L. Tusa, P. Ghamisi, and R. Gloaguen. WHISPERS, page 1-5. IEEE, (2018)The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration.R. Gloaguen, P. Ghamisi, S. Lorenz, M. Kirsch, R. Zimmermann, R. Booysen, L. Andreani, R. Jackisch, E. Hermann, L. Tusa and 4 other author(s). IGARSS, page 7430-7433. IEEE, (2018)Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping.C. Contreras, M. Khodadadzadeh, L. Tusa, C. Loidolt, R. Tolosana-Delgado, and R. Gloaguen. WHISPERS, page 1-4. IEEE, (2019)Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images.M. Khodadadzadeh, P. Ghamisi, C. Contreras, and R. Gloaguen. IGARSS, page 5740-5743. IEEE, (2018)Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.C. Contreras, M. Khodadadzadeh, P. Ghamisi, and R. Gloaguen. IGARSS, page 2686-2689. IEEE, (2019)A Supervised Method for Nonlinear Hyperspectral Unmixing.B. Koirala, M. Khodadadzadeh, C. Contreras, Z. Zahiri, R. Gloaguen, and P. Scheunders. Remote Sensing, 11 (20): 2458 (2019)Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans.L. Tusa, L. Andreani, E. Pohl, I. Contreras, M. Khodadadzadeh, R. Gloaguen, and J. Gutzmer. IGARSS, page 4070-4073. IEEE, (2018)Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction.S. Lorenz, P. Seidel, P. Ghamisi, R. Zimmermann, L. Tusa, M. Khodadadzadeh, I. Contreras, and R. Gloaguen. Sensors, 19 (12): 2787 (2019)The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials.P. Ghamisi, K. Shahi, P. Duan, B. Rasti, S. Lorenz, R. Booysen, S. Thiele, I. Acosta, M. Kirsch, and R. Gloaguen. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)

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Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.

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Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines.