Complete Publication List
Mineral Mapping and Vein Detection in Hyperspectral Drill-Core Scans: Application to Porphyry-Type Mineralization
Tusa, L., Andreani, L., Khodadadzadeh, M., Contreras, C., Ivascanu, P., Gloaguen, R. and Gutzmer, J., 2019. Mineral Mapping and Vein Detection in Hyperspectral Drill-Core Scans: Application to Porphyry-Type Mineralization.
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
Rafiezadeh Shahi, K., Khodadadzadeh, M., Tusa, L., Ghamisi, P., Tolosana-Delgado, R. and Gloaguen, R., 2020. Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis.
Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
Rafiezadeh Shahi, K., Ghamisi, P., Rasti, B., Jackisch, R., Scheunders, P. and Gloaguen, R., 2020. Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm.
Image Restoration for Remote Sensing: Overview and Toolbox
Rasti, B., Chang, Y., Dalsasso, E., Denis, L. and Ghamisi, P., 2021. Image Restoration for Remote Sensing: Overview and toolbox.
Towards multiscale and multisource remote sensing mineral exploration using RPAS: A case study in the Lofdal Carbonatite-Hosted REE Deposit, Namibia
Booysen, R., Zimmermann, R., Lorenz, S., Gloaguen, R., Nex, P., Andreani, L. and Möckel, R., 2019. Towards Multiscale and Multisource Remote Sensing Mineral Exploration Using RPAS: A Case study in the Lofdal Carbonatite-Hosted REE Deposit, Namibia.
Optimal sensor selection for sensor-based sorting based on automated mineralogy data
Kerna, M., Tusa, L., -Leißner, T., Gerald van den Boogaart, K. and Gutzmera, J., 2019. Optimal sensor selection for sensor-based sorting based on automated mineralogy data.
UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters
Flores, H., Lorenz, S., Jackisch, R., Tusa, L., Contreras, I., Zimmermann, R. and Gloaguen, R., 2021. UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters.
Evaluating SAR polarization modes at L-band for forest classification purposes in Eastern Amazon, Brazil
Liesenberg, V. and Gloaguen, R., 2012. Evaluating SAR polarization modes at L-band for forest classification purposes in Eastern Amazon, Brazil.
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Sheykhmousa, M., Mahdianpari, M., Ghanbari, H., Mohammadimanesh, F., Ghamisi, P. and Homayouni, S., 2020. Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
Improving the Estimation of Above Ground Biomass Using Dual Polarimetric PALSAR and ETM+ Data in the Hyrcanian Mountain Forest (Iran)
Attarchi, S. and Gloaguen, R., 2014. Improving the Estimation of Above Ground Biomass Using Dual Polarimetric PALSAR and ETM+ Data in the Hyrcanian Mountain Forest (Iran).
Window-based morphometric indices as predictive variables for landslide susceptibility models
Barbosa, N., Andreani, L., Gloaguen, R. and Ratschbacher, L., 2021. Window-Based Morphometric Indices as Predictive Variables for Landslide Susceptibility Models.
The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo—A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
Jakob, S., Zimmermann, R. and Gloaguen, R., 2017. The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo—A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data.