The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. - Richard Gloaguen; Pedram Ghamisi; Sandra Lorenz; Moritz Kirsch; Robert Zimmermann; René Booysen; Louis Andreani; Robert Jackisch; Erik Hermann; Laura Tusa; Gabriel Unger; Cecilia Contreras; et al. (IGARSS, 2018)

Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. - Mahdi Khodadadzadeh; Pedram Ghamisi; Cecilia Contreras; Richard Gloaguen (IGARSS, 2018)

Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans. - Laura Tusa; Louis Andreani; Eric Pohl; I. Cecilia Contreras; Mahdi Khodadadzadeh; Richard Gloaguen; Jens Gutzmer (IGARSS, 2018)

A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. - Cecilia Contreras; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2018)

Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. - Cecilia Contreras; Mahdi Khodadadzadeh; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2019)

Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping. - Cecilia Contreras; Mahdi Khodadadzadeh; Laura Tusa; Christina Loidolt; Raimon Tolosana-Delgado; Richard Gloaguen (WHISPERS, 2019)

A Supervised Method for Nonlinear Hyperspectral Unmixing. - Bikram Koirala; Mahdi Khodadadzadeh; Cecilia Contreras; Zohreh Zahiri; Richard Gloaguen; Paul Scheunders (Remote. Sens., 2019)

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. - Sandra Lorenz; Peter Seidel; Pedram Ghamisi; Robert Zimmermann; Laura Tusa; Mahdi Khodadadzadeh; I. Cecilia Contreras; Richard Gloaguen (Sensors, 2019)

A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Laura Tusa; Pedram Ghamisi; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data. - Laura Tusa; Mahdi Khodadadzadeh; Cecilia Contreras; Kasra Rafiezadeh Shahi; Margret C. Fuchs; Richard Gloaguen; Jens Gutzmer (Remote. Sens., 2020)

Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Raimon Tolosana-Delgado; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping. - Isabel Cecilia Contreras Acosta; Mahdi Khodadadzadeh; Richard Gloaguen (Remote. Sens., 2021)

The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. - Pedram Ghamisi; Kasra Rafiezadeh Shahi; Puhong Duan; Behnood Rasti; Sandra Lorenz; René Booysen; Samuel T. Thiele; Isabel Cecilia Contreras Acosta; Moritz Kirsch; Richard Gloaguen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Stonepark Hyperspectral Drillcore Data. - Samuel T. Thiele; Moritz Kirsch; Yuleika Madriz; Richard Gloaguen; Safia El Alami; Isabel Cecilia Contreras Acosta; Houda Saffi (RODARE, 2024)