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Bio
Luca Bergamasco (Member, IEEE) received the “Laurea” (B.Sc.) degree in electronics and telecommunication engineering, the “LaureaMagistrale” (M.Sc.) degree in information and communication engineering, and the Ph.D. degree in information and communication technologies (cum laude) from the University of Trento, Trento, Italy, in 2016, 2018, and 2022, respectively.
He is currently a Postdoctoral Researcher with the Remote Sensing for Digital Earth Unit (RSDE), Fondazione Bruno Kessler (FBK), Trento. His research interests include remote sensing data analysis through machine learning, pattern recognition, and deep learning techniques. Some research topics involve deep learning methods for multitemporal image analysis, change detection in multispectral, hyperspectral, synthetic-aperture-radar (SAR), multimodal data, time-series analysis, and domain adaptation.
Dr. Bergamasco was the recipient of the prize for the 2019 best three Italian Master's thesis in geoscience and remote sensing awarded by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society. He is a referee for several journals, including the IEEE Transactions on Geoscience and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
Research Interests
Papers共 11 篇Author StatisticsCo-AuthorSimilar Experts
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IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUMpp.483-486, (2023)
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023): 2147-2162
Image and Signal Processing for Remote Sensing XXVIII (2022)
Luca Bergamasco,Francesca Bovolo,Marco Cristoforetti,Andrea Gobbi, Daniele Leo,Pietro Molfetta, Riccardo Pasi, Paola Rogani
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IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXVI (2020): 146-153
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Author Statistics
#Papers: 10
#Citation: 47
H-Index: 4
G-Index: 6
Sociability: 2
Diversity: 2
Activity: 4
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