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Selected Publication List

How Hyperspectral Image Unmixing and Denoising Can Boost Each Other

Rasti, B., Koirala, B., Scheunders, P. and Ghamisi, P., 2020. How Hyperspectral Image Unmixing and Denoising Can Boost Each Other.

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Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification

Chen, Y., Zhu, K., Zhu, L., He, X., Ghamisi, P. and Benediktsson, J., 2019. Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification.

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Improving Lithological Mapping by SVM Classification of Spectral and Morphological Features: The Discovery of a New Chromite Body in the Mawat Ophiolite Complex (Kurdistan, NE Iraq)

Othman, A. and Gloaguen, R., 2014. Improving Lithological Mapping by SVM Classification of Spectral and Morphological Features: The Discovery of a New Chromite Body in the Mawat Ophiolite Complex (Kurdistan, NE Iraq).

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Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia)

Zimmermann, R., Brandmeier, M., Andreani, L., Mhopjeni, K. and Gloaguen, R., 2016. Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia).

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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Hang, R., Li, Z., Ghamisi, P., Hong, D., Xia, G. and Liu, Q., 2020. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs.

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A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion

Acosta, I., Khodadadzadeh, M., Tusa, L., Ghamisi, P. and Gloaguen, R., 2019. A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion.

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The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials

Ghamisi, P., Shahi, K., Duan, P., Rasti, B., Lorenz, S., Booysen, R., Thiele, S., Contreras, I., Kirsch, M. and Gloaguen, R., 2021. The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials.

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Library of UV-Visible Absorption Spectra of Rare Earth Orthophosphates, LnPO4 (Ln = La-Lu, except Pm)

Sharma, S., Behm, T., Köhler, T., Beyer, J., Gloaguen, R. and Heitmann, J., 2020. Library of UV-Visible Absorption Spectra of Rare Earth Orthophosphates, LnPO4 (Ln = La-Lu, except Pm).

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Detection of REEs with lightweight UAV-based hyperspectral imaging

Booysen, R., Jackisch, R., Lorenz, S., Zimmermann, R., Kirsch, M., Nex, P. and Gloaguen, R., 2020. Detection of REEs with lightweight UAV-based hyperspectral imaging.

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Ambient seismic noise analysis of LARGE-N data for mineral exploration in the Central Erzgebirge, Germany

Ryberg, T., Kirsch, M., Haberland, C., Tolosana-Delgado, R., Viezzoli, A. and Gloaguen, R., 2021. Ambient seismic noise analysis of LARGE-N data for mineral exploration in the Central Erzgebirge, Germany.

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Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources

Salcedo-Sanza, S., Ghamisi, P., Piles, M., Wernerd, M., Cuadra, L., Moreno-Martínez, A., Izquierdo-Verdiguierg, E., Muñoz-Marí, J., Mosavi, A. and Camps-Vallsc, G., 2020. Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources.

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Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis

Rasti, B., Ghamisi, P. and Gloaguen, R., 2017. Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis.

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