Omid Ghozatlou
at CEOSpaceTech
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Profile Summary

Omid Ghozatlou (Student Member, IEEE) received the M.Sc. degree in biomedical engineering in 2019 from the Faculty of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran. He is currently working toward a Ph.D. degree in the field of deep learning models for earth observation multispectral image processing in presence of adversarial samples with the Politehnica University of Bucharest (UPB), Bucharest, Romania. He is currently an Early Stage Researcher within the EU Marie Skłodowska-Curie Innovative Training Network, MENELAOS-NT, and a Ph.D. Researcher with the Research Center for Spatial Information of the Faculty of Electronics Engineering, Telecommunications, and Information Technology, UPB. He has been a Visiting Researcher with the Center for Sensorsystems, University of Siegen, Siegen, Germany. His current research interests include remote sensing image processing, physics-aware artificial intelligence, and deep active learning.
Publications (1)

Proceedings Article | 2 March 2023 Paper
Proceedings Volume 12493, 124931B (2023) https://doi.org/10.1117/12.2654024
KEYWORDS: RGB color model, Infrared radiation, Remote sensing, Vegetation, Synthetic aperture radar, Feature extraction, Machine learning, Scene classification, Feature selection, Visualization, Multispectral imaging

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