Selected Publication List
Investigation of Autonomous Multi-UAV Systems for Target Detection in Distributed Environment: Current Developments and Open Challenges
Adoni, W. Y. H., Lorenz, S., Fareedh, J. S., Gloaguen, R., & Bussmann, M. (2023). Investigation of Autonomous Multi-UAV Systems for Target Detection in Distributed Environment: Current Developments and Open Challenges. Drones, 7(4), 263.
MS2 A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering
Shahi, K. R., Ghamisi, P., Rasti, B., Gloaguen, R., & Scheunders, P. (2022). MS $^{2} $ A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6518-6530.
Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland
Lorenz, S., Thiele, S. T., Kirsch, M., Unger, G., Zimmermann, R., Guarnieri, P., ... & Gloaguen, R. (2022). Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland. Data, 7(8), 104.
Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data
De La Rosa, R., Tolosana-Delgado, R., Kirsch, M., & Gloaguen, R. (2022). Automated Multi-Scale and Multivariate Geological Logging from Drill-Core Hyperspectral Data. Remote Sensing, 14(11), 2676.
Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification
Xie, J., He, N., Fang, L. and Ghamisi, P., 2020. Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification.
LiDAR Data Classification Using Spatial Transformation and CNN
He, X., Wang, A., Ghamisi, P., Li, G. and Chen, Y., 2018. LiDAR Data Classification Using Spatial Transformation and CNN.
Environmental change detection in the central part of Iraq using remote sensing data and GIS
Othman, A., Al-Saady, Y., Al-Khafaji, A. and Gloaguen, R., 2013. Environmental change detection in the central part of Iraq using remote sensing data and GIS.
Accurate hyperspectral imaging of mineralised outcrops: An example from lithium-bearing pegmatites at Uis, Namibia
Booysen, R., Lorenz, S., Thiele, S., Fuchsloch, W., Marais, T., Nex, P. and Gloaguen, R., 2021. Accurate hyperspectral imaging of mineralised outcrops: An example from lithium-bearing pegmatites at Uis, Namibia.
Feature importance analysis for Local Climate Zone classification using a residual convolutional neural network with multi-source datasets
Qiu, C., Schmitt, M., Mou, L., Ghamisi, P. and Zhu, X., 2018. Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets.
An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images
Sheikholeslami, M., Nadi, S., Naeini, A. and Ghamisi, P., 2020. An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images.
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Pinter, G., Felde, I., Mosavi, A., Ghamisi, P. and Gloaguen, R., 2020. COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach.
Millennial erosion rates across the Pamir based on 10Be concentrations in fluvial sediments: Dominance of topographic over climatic factors
Fuchs, M., Gloaguen, R., Merchel, S., Pohl, S., Sulaymonova, V., Andermann, C. and Rugel G., 2015. Millennial erosion rates across the Pamir based on 10Be concentrations in fluvial sediments: dominance of topographic over climatic factors.