Recent Publications

Blannin, R., Frenzel, M., Tusa, L., Birtel, S., Ivăşcanu, P., Baker, T. and Gutzmer, J., 2021. Uncertainties in quantitative mineralogical studies using scanning electron microscope-based image analysis.

Hong, D., Wu, X., Ghamisi, P., Chanussot, J., Yokoya, N. and Zhu, X., 2020. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification.

Contreras Acosta, I., Khodadadzadeh, M. and Gloaguen, R., 2021. Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping.

Kesselring, M., Ruiz-Coupeau, S., Kirsch, M., Wagner, F., & Gloaguen, R. 2021. Integrated Test Sites for Innovation Ecosystems.

Grina, E., Ehlers, T., Schaller, M., Sulaymonov, V., Ratschbacher, L. and Gloaguen, R., 2016. 10Be surface-exposure age dating of the Last Glacial Maximum in the northern Pamir (Tajikistan).

Li, H., Ghamisi, P., Soergel, U. and Zhu, X., 2018. Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks.

Othman, A., Gloaguen, R., 2017. Integration of spectral, spatial and morphometric data into lithological mapping: A comparison of different Machine Learning Algorithms in the Kurdistan Region, NE Iraq.

Pohl, E., Gloaguen, R. and Seiler, R., 2015. Remote Sensing-Based Assessment of the Variability of Winter and Summer Precipitation in the Pamirs and Their Effects on Hydrology and Hazards Using Harmonic Time Series Analysis.

Djeddaoui, F., Chadli, M. and Gloaguen, R., 2017. Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria.

Rahnama, M. and Gloaguen, R., 2014. TecLines: A MATLAB-Based Toolbox for Tectonic Lineament Analysis from Satellite Images and DEMs, Part 1: Line Segment Detection and Extraction.

Jackisch, R., Madriz, Y., Zimmermann, R., Pirttijärvi, M., Saartenoja, A., Heincke, B., Salmirinne, H., Kujasalo, J., Andreani, L. and Gloaguen, R., 2019. DroneBorne Hyperspectral and Magnetic Data Integration: Otanmäki FeTiV Deposit in Finland.

Tusa, T., Kern, M., Khodadadzadeh, M., Blannin, R., Gloaguen R. and Gutzmer, J., 2019. Evaluating the performance of hyperspectral short-wave infrared sensors for the pre-sorting of complex ores using machine learning methods.