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Selected 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.

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