| Fusion of hyperspectral and LiDAR remote sensing data using multiple feature learning M Khodadadzadeh, J Li, S Prasad, A Plaza IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 180 | 2015 |
| Spectral–spatial classification of hyperspectral data using local and global probabilities for mixed pixel characterization M Khodadadzadeh, J Li, A Plaza, H Ghassemian, JM Bioucas-Dias, X Li IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6298-6314, 2014 | 147 | 2014 |
| Subspace-based support vector machines for hyperspectral image classification L Gao, J Li, M Khodadadzadeh, A Plaza, B Zhang, Z He, H Yan IEEE Geoscience and Remote Sensing Letters 12 (2), 349-353, 2014 | 134 | 2014 |
| Integration of terrestrial and drone-borne hyperspectral and photogrammetric sensing methods for exploration mapping and mining monitoring M Kirsch, S Lorenz, R Zimmermann, L Tusa, R Möckel, P Hödl, ... Remote Sensing 10 (9), 1366, 2018 | 109 | 2018 |
| 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 | 97 | 2019 |
| A discontinuity preserving relaxation scheme for spectral–spatial hyperspectral image classification J Li, M Khodadadzadeh, A Plaza, X Jia, JM Bioucas-Dias IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 87 | 2015 |
| A subspace-based multinomial logistic regression for hyperspectral image classification M Khodadadzadeh, J Li, A Plaza, JM Bioucas-Dias IEEE Geoscience and Remote Sensing Letters 11 (12), 2105-2109, 2014 | 87 | 2014 |
| 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 | 38 | 2019 |
| Evaluating the performance of hyperspectral short-wave infrared sensors for the pre-sorting of complex ores using machine learning methods L Tuşa, M Kern, M Khodadadzadeh, R Blannin, R Gloaguen, J Gutzmer Minerals Engineering 146, 106150, 2020 | 35 | 2020 |
| 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 | 34 | 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 | 27 | 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 | 27 | 2020 |
| On machine learning algorithms and compositional data R Tolosana-Delgado, H Talebi, M Khodadadzadeh, ... Proceedings of the 8th International Workshop on Compositional Data Analysis …, 2019 | 27 | 2019 |
| An automatic method for subglacial lake detection in ice sheet radar sounder data AM Ilisei, M Khodadadzadeh, A Ferro, L Bruzzone IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3252-3270, 2018 | 24 | 2018 |
| A self-adaptive particle-tracking method for minerals processing L Pereira, M Frenzel, M Khodadadzadeh, R Tolosana-Delgado, ... Journal of Cleaner Production 279, 123711, 2021 | 23 | 2021 |
| Hierarchical sparse subspace clustering (HESSC): An automatic approach for hyperspectral image analysis K Rafiezadeh Shahi, M Khodadadzadeh, L Tusa, P Ghamisi, ... Remote Sensing 12 (15), 2421, 2020 | 23 | 2020 |
| Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt R De la Rosa, M Khodadadzadeh, L Tusa, M Kirsch, G Gisbert, F Tornos, ... Ore Geology Reviews 139, 104514, 2021 | 21 | 2021 |
| A supervised method for nonlinear hyperspectral unmixing B Koirala, M Khodadadzadeh, C Contreras, Z Zahiri, R Gloaguen, ... Remote Sensing 11 (20), 2458, 2019 | 18 | 2019 |
| A novel approach for spectral-spatial classification of hyperspectral data based on SVM-MRF method M Khodadadzadeh, R Rajabi, H Ghassemian 2011 IEEE International Geoscience and Remote Sensing Symposium, 1890-1893, 2011 | 17 | 2011 |
| Hyperspectral outcrop models for palaeoseismic studies M Kirsch, S Lorenz, R Zimmermann, L Andreani, L Tusa, S Pospiech, ... The Photogrammetric Record 34 (168), 385-407, 2019 | 16 | 2019 |
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