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Isabel Cecilia Contreras Acosta
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2020 – today
- 2021
- [j7]Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Richard Gloaguen:
Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping. Remote. Sens. 13(12): 2296 (2021) - [j6]Pedram Ghamisi, Kasra Rafiezadeh Shahi, Puhong Duan, Behnood Rasti, Sandra Lorenz, René Booysen, Samuel T. Thiele, Isabel Cecilia Contreras Acosta, Moritz Kirsch, Richard Gloaguen:
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8971-8988 (2021) - 2020
- [j5]Laura Tusa, Mahdi Khodadadzadeh, Cecilia Contreras, Kasra Rafiezadeh Shahi, Margret C. Fuchs, Richard Gloaguen, Jens Gutzmer:
Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data. Remote. Sens. 12(7): 1218 (2020) - [j4]Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Raimon Tolosana-Delgado, Richard Gloaguen:
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4214-4228 (2020)
2010 – 2019
- 2019
- [j3]Bikram Koirala, Mahdi Khodadadzadeh, Cecilia Contreras, Zohreh Zahiri, Richard Gloaguen, Paul Scheunders:
A Supervised Method for Nonlinear Hyperspectral Unmixing. Remote. Sens. 11(20): 2458 (2019) - [j2]Sandra Lorenz, Peter Seidel, Pedram Ghamisi, Robert Zimmermann, Laura Tusa, Mahdi Khodadadzadeh, I. Cecilia Contreras, Richard Gloaguen:
Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. Sensors 19(12): 2787 (2019) - [j1]Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen:
A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4829-4842 (2019) - [c6]Cecilia Contreras, Mahdi Khodadadzadeh, Pedram Ghamisi, Richard Gloaguen:
Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. IGARSS 2019: 2686-2689 - [c5]Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Christina Loidolt, Raimon Tolosana-Delgado, Richard Gloaguen:
Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping. WHISPERS 2019: 1-4 - 2018
- [c4]Laura Tusa, Louis Andreani, Eric Pohl, I. Cecilia Contreras, Mahdi Khodadadzadeh, Richard Gloaguen, Jens Gutzmer:
Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans. IGARSS 2018: 4070-4073 - [c3]Mahdi Khodadadzadeh, Pedram Ghamisi, Cecilia Contreras, Richard Gloaguen:
Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. IGARSS 2018: 5740-5743 - [c2]Richard Gloaguen, Pedram Ghamisi, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, René Booysen, Louis Andreani, Robert Jackisch, Erik Hermann, Laura Tusa, Gabriel Unger, Cecilia Contreras, Mahdi Khodadadzadeh, Margret C. Fuchs:
The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. IGARSS 2018: 7430-7433 - [c1]Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen:
A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. WHISPERS 2018: 1-5
Coauthor Index
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