| A machine learning framework for drill-core mineral mapping using hyperspectral and high-resolution mineralogical data fusion ICC Acosta, M Khodadadzadeh, L Tusa, P Ghamisi, R Gloaguen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 90 | 2019 |
| UAS-based hyperspectral environmental monitoring of acid mine drainage affected waters H Flores, S Lorenz, R Jackisch, L Tusa, IC Contreras, R Zimmermann, ... Minerals 11 (2), 182, 2021 | 37 | 2021 |
| 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, ... Sensors 19 (12), 2787, 2019 | 35 | 2019 |
| Mineral mapping and vein detection in hyperspectral drill-core scans: Application to porphyry-type mineralization L Tusa, L Andreani, M Khodadadzadeh, C Contreras, P Ivascanu, ... Minerals 9 (2), 122, 2019 | 33 | 2019 |
| Drill-core hyperspectral and geochemical data integration in a superpixel-based machine learning framework ICC Acosta, M Khodadadzadeh, R Tolosana-Delgado, R Gloaguen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 26 | 2020 |
| Drill-core mineral abundance estimation using hyperspectral and high-resolution mineralogical data L Tuşa, M Khodadadzadeh, C Contreras, K Rafiezadeh Shahi, M Fuchs, ... Remote Sensing 12 (7), 1218, 2020 | 24 | 2020 |
| The potential of machine learning for a more responsible sourcing of critical raw materials P Ghamisi, KR Shahi, P Duan, B Rasti, S Lorenz, R Booysen, S Thiele, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 17 | 2021 |
| A supervised method for nonlinear hyperspectral unmixing B Koirala, M Khodadadzadeh, C Contreras, Z Zahiri, R Gloaguen, ... Remote Sensing 11 (20), 2458, 2019 | 16 | 2019 |
| Subspace multinomial logistic regression ensemble for classification of hyperspectral images M Khodadadzadeh, P Ghamisi, C Contreras, R Gloaguen IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 10 | 2018 |
| A Machine Learning Technique for Drill Core Hyperspectral Data Analysis C Contreras, M Khodadadzadeh, L Tusa, P Ghamisi, R Gloaguen 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2018 | 10 | 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, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 9 | 2018 |
| Multi-label classification for drill-core hyperspectral mineral mapping IC Contreras, M Khodadadzadeh, R Gloaguen The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 6 | 2020 |
| Geochemical and Hyperspectral Data Fusion for Drill-Core Mineral Mapping C Contreras, M Khodadadzadeh, L Tusa, C Loidolt, R Tolosana-Delgado, ... 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 6 | 2019 |
| Extraction of structural and mineralogical features from hyperspectral drill-core scans L Tusa, L Andreani, E Pohl, IC Contreras, M Khodadadzadeh, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 5 | 2018 |
| Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines C Contreras, M Khodadadzadeh, P Ghamisi, R Gloaguen IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2019 | 4 | 2019 |
| UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters. Minerals 2021, 11, 182 H Flores, S Lorenz, R Jackisch, L Tusa, IC Contreras, R Zimmermann, ... s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | 2 | 2021 |
| Subspace clustering algorithms for mineral mapping M Khodadadzadeh, C Contreras, L Tusa, R Gloaguen Image and Signal Processing for Remote Sensing XXIV 10789, 557-564, 2018 | 2 | 2018 |
| Mapping Epithermal Alteration Mineralogy with High Spatial Resolution Hyperspectral Imaging of Rock Samples IC Contreras, C Hecker, F van der Meer GRSG Conf, 123-128, 2015 | 2 | 2015 |
| A supervised technique for drill-core mineral mapping using Hyperspectral data C Contreras, M Khodadadzadeh, L Tusa, R Gloaguen EGU General Assembly Conference Abstracts, 13526, 2020 | 1 | 2020 |
| Fusion of VNIR-SWIR and LWIR for Mineral Mapping in a Machine Learning Framework IC Contreras, M Khodadadzadeh, L Tusa, R Gloaguen EGU General Assembly 21 (9092), 2019 | 1 | 2019 |
Richard GloaguenHead department Exploration Technology, Helmholtz-Zentrum Dresden-RossendorfVerified email at hzdr.de
