Complete Publication List
3D modelling of the Epembe (Namibia) Nb-Ta-P-(LREE) carbonatite deposit: new insights into geometry related to rare metal enrichment
Unger, G., Zimmermann, R. and Gloaguen, R., 2018. 3D Modeling of the Epembe (Namibia) Nb-Ta-P-(LREE) Carbonatite Deposit: New Insights into Geometry Related to Rare Metal Enrichment.
Geomorphic analysis of transient landscapes in the Sierra Madre de Chiapas and Maya Mountains (northern Central America): implications for the North American–Caribbean–Cocos plate boundary
Andreani, L. and Gloaguen, R., 2016. Geomorphic analysis of transient landscapes in the Sierra Madre de Chiapas and Maya Mountains (northern Central America): implications for the North American–Caribbean–Cocos plate boundary.
Multi-scale, multi-sensor data integration for automated 3-D geological mapping
Thiele, S., Lorenz, S., Kirsch, M., Cecilia Contreras Acosta, I., Tusa, L., Herrmann, E., Möckel, R. and Gloaguen, R., 2021. Multi-scale, multi-sensor data integration for automated 3-D geological mapping.
The Potential of Reflectance and Laser Induced Luminescence Spectroscopy for Near-Field Rare Earth Element Detection in Mineral Exploration
Lorenz, S., Beyer, J., Fuchs, M., Seidel, P., Turner, D., Heitmann, J. and Gloaguen, R., 2018. The Potential of Reflectance and Laser Induced Luminescence Spectroscopy for Near-Field Rare Earth Element Detection in Mineral Exploration.
Remote sensing based improvement of the geological map of the Neoproterozoic Ras Gharib segment in the Eastern Desert (NE-Egypt) using texture features
Jakob, S., Bühler, B., Gloaguen, R., Breitkreuz, C., Eliwa, H., El Gameel, K., 2015. Remote sensing based improvement of the geological map of the Neoproterozoic Ras Gharib segment in the Eastern Desert (NE–Egypt) using texture features.
Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework
Acosta, I., Khodadadzadeh, M., Tolosana-Delgado, R. and Gloaguen, R., 2020. Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework.
Development of Sustainable Test Sites for Mineral Exploration and Knowledge Spillover for Industry
Kesselring, M., Wagner, F., Kirsch, M., Ajjabou, L. and Gloaguen, R., 2020. Development of Sustainable Test Sites for Mineral Exploration and Knowledge Spillover for Industry.
Radiometric Correction and 3D Integration of Long-Range Ground-based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops
Lorenz, S., Salehi, S., Kirsch, M., Zimmermann, R., Unger, G., Vest Sørensen, E. and Gloaguen, R., 2018. Radiometric Correction and 3D Integration of Long-Range Ground-Based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops.
Hyperspectral outcrop models for palaeoseismic studies
Kirsch, M., Lorenz, S., Zimmermann, R., Andreani, L., Tusa, L., Pospiech, S., Jackisch, R., Khodadadzadeh, M., Ghamisi, P., Unger, G., Hödl, P., Gloaguen, R., Middleton, M., Sutinen, R., Ojala, A., Mattila, J., Nordbäck, n., Palmu, J., Tiljander, M. and Ruskeeniemi, T., 2019. Hyperspectral outcrop models for palaeoseismic studies.
The giant Shakhdara migmatitic gneiss dome, Pamir, India–Asia collision zone, II:Timing of dome formation, Tectonics
Stübner, K., Ratschbacher, L., Weise, C., Chow, J., Hofmann, J., Khan, J., Rutte, D., Sperner, B., Pfänder, J., Hacker, B., Dunkl, I., Tichomirowa, M., Stearns, M. and Project TIPAGE members, 2013. The giant Shakhdara migmatitic gneiss dome, Pamir, India-Asia collision zone: 2. Timing of dome formation.
Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods
Lorenz, S., Ghamisi, P., Kirsch, M., Jackisch, R., Rasti, B. and Gloaguen R., 2020. Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods.
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm
Shahi, K., Ghamisi, P., Rasti, B., Scheunders, P. and Gloaguen, R., 2021. Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm.