Complete Publication List
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data
Ghorbanzadeh, O., Crivellari, A., Ghamisi, P., Shahabi, H. and Blaschke, T., 2021. A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan).
Geothermal activities in the Main Ethiopian Rift: Hydrogeochemical characterization of geothermal waters and geothermometry applications
Pürschel, M., Gloaguen, R. and Stadler, S., 2013. Geothermal activities in the Main Ethiopian Rift: Hydrogeochemical characterization of geothermal waters and geothermometry applications (Dofan-Fantale, Gergede-Sodere, Aluto-Langano).
Earthquake-induced deformation structures in glacial sediments—evidence on fault reactivation and instability at the Vaalajärvi fault in northern Fennoscandia
Ojala, A., Mattila, J., Middleton, M., Ruskeeniemi, T., Palmu, J., Nordbäck, N., Kirsch, M., Lorenz, S., Zimmermann, R., Andreani, L., Jackisch, R., Unger, G., Gloaguen, R. and Sutinen, R., 2020. Earthquake-induced deformation structures in glacial sediments—evidence on fault reactivation and instability at the Vaalajärvi fault in northern Fennoscandia.
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
Shahabi, H., Rahimzad, M., Tavakkoli Piralilou, S., Ghorbanzadeh, O., Homayouni, S., Blaschke, T., Lim, S. and Ghamisi, P., 2021. Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery.
Remote Sensing Image Classification Using Subspace Sensor Fusion
Rasti, B., Ghamisi, P., 2020. Remote sensing image classification using subspace sensor fusion.
Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification
Hu, J., Ghamisi, P. and Zhu, X., 2018. Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification.
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Nosratabadi, S., Mosavi, A., Duan, P., Ghamisi, P., Filip, F., Band, S., Reuter, U., Gama, J. and Gandomi, A., 2020. Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods.
Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring
Kirsch, M., Lorenz, S., Zimmermann, R., Tusa, L., Möckel, R., Hödl, P., Booysen, R., Khodadadzadeh, M. and Gloaguen, R., 2018. Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring.
Deep Learning for Hyperspectral Image Classification: An Overview
Li, S., Song, W., Fang, L., Chen, Y., Ghamisi, P. and Benediktsson, J., 2022. Deep Learning for Hyperspectral Image Classification: An Overview.
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox
Rasti, B., Hong, D., Hang, R., Ghamisi, P., Kang, X., Chanussot, J. and Benediktsson, J., 2020. Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox.
A novel and open-source illumination correction for hyperspectral digital outcrop models
Thiele, S., Lorenz, S., Kirsch, M. and Gloaguen, R., 2021. A Novel and Open-Source Illumination Correction for Hyperspectral Digital Outcrop Models.
Fusion of Dual Spatial Information for Hyperspectral Image Classification
Duan, P., Ghamisi, P., Kang, X., Rasti, B., Li, S. and Gloaguen, R., 2020. Fusion of Dual Spatial Information for Hyperspectral Image Classification.