Andrea Garzelli is professor of telecommunications at the Department of Information Engineering and Mathematics. He holds the courses of 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing' (at DIISM) and 'Remote Sensing Systems' (at DSFTA). He obtained the Ph.D. degree in Computer Science and Telecommunication Engineering from the University of Florence. His main research interests are in remote sensing image processing from optical and SAR sensors and image fusion. He has been president of the Quality Assurance Committee (PQA) of the University of Siena from 2016 to 2021. He is currently the Program Coordinator of the graduate course in Computer and Information Engineering. He is recognized among the World's Top 2% Scientists by Stanford University for the years 2019 to 2023, as well as for his entire career.
GARZELLI ANDREA
Andrea
Garzelli
Professore Ordinario
Presentation
Office hours
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Friday from 14:30 to 15:30Place: Torre Rossa, San Niccolò, Via Roma n.56 - r201.Note: Other dates are available. Please contact via email to make an appointment.
Students’ reception can be also carried out by appointment in virtual mode. Please contact me by email.
Contacts
0577235879 [int.5879]
Curriculum Vitae
Notices
Statistical Signal Processing
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Theses
Research theses on remote sensing image processing are available.
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Teaching activities
Completion accademic year: 2025/2026
Course year: 2
First cycle degree (DM 270)
TECHNOLOGIES FOR ENVIRONMENT, CONSTRUCTIONS AND TERRITORY
A.Y. 2024/2025
Course year: 2
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2024/2025
Course year: 2
First cycle degree (DM 270)
TECHNOLOGIES FOR ENVIRONMENT, CONSTRUCTIONS AND TERRITORY
A.Y. 2024/2025
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2025/2026
Completion accademic year: 2024/2025
Course year: 2
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2023/2024
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2024/2025
Completion accademic year: 2023/2024
Course year: 2
First cycle degree (DM 270)
INGEGNERIA INFORMATICA E DELL'INFORMAZIONE
A.Y. 2022/2023
Course year: 1
Second cycle degree (Laurea Magistrale)
GEOLOGICAL SCIENCES AND TECHNOLOGIES
A.Y. 2023/2024
Course year: 1
Second cycle degree (Laurea Magistrale)
ELECTRONICS AND COMMUNICATIONS ENGINEERING
A.Y. 2023/2024
Completion accademic year: 2022/2023
Research
Ultime pubblicazioni:
- Alparone, L., Garzelli, A. (2025). Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis. JOURNAL OF IMAGING, 11(1) [10.3390/jimaging11010001]. - view more
- Garzelli, A., Arienzo, A., Alparone, L. (2025). Two-step fusion of operational land imager and thermal infrared spectrometer data based on nested hypersharpening and pansharpening stages. JOURNAL OF APPLIED REMOTE SENSING, 19(1), 01651201-01651215 [10.1117/1.jrs.19.016512]. - view more
- Alparone, L., Arienzo, A., Garzelli, A. (2024). Spatial Resolution Enhancement of Satellite Hyperspectral Data via Nested Hypersharpening With Sentinel-2 Multispectral Data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 17, 10956-10966 [10.1109/jstars.2024.3406762]. - view more
- Garzelli, A., Zoppetti, C. (2024). Large-Scale Fine-Grained Change Detection from Multisensory Satellite Images. In C.H. Chen (a cura di), Signal and Image Processing for Remote Sensing (pp. 355-368). Boca Raton : CRC Press [10.1201/9781003382010]. - view more
- Arienzo, A., Alparone, L., Garzelli, A. (2024). Improved Regression-Based Component-Substitution Pansharpening of Worldview-2/3 Data Through Automatic Realignment of Spectrometers. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp.1082-1085). New York : IEEE [10.1109/igarss53475.2024.10641985]. - view more