GARZELLI ANDREA

Presentation

Andrea Garzelli is professor of telecommunications at the Department of Information Engineering and Mathematics. He holds the courses of 'Fundamentals of Telecommunications' and 'Statistical Signal Processing' (at DIISM) and 'Remote Sensing' (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 listed in the World's Top 2% Scientists by Stanford University for single-years 2022, 2021, 2020, 2019 and for the entire career.

Office hours

  • Friday from 12:00 to 13:00
    Place: 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.

Notices

Statistical Signal Processing

Calendar of December classes: 

Fri 1st, 12:00-13:30

Mon 4th, 10:15-11:45

Tue 5th, 8:30-10:00

Tue 12th, 8:30-10:00

Fri 15th, 12:00-13:30 (teaching evaluation, last 15 minutes, bring your smartphone)

Mon 18th, 10:15-11:45 Second midterm exam

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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

Completion accademic year: 2023/2024

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

Course year: 2 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2021/2022
Course year: 1 Second cycle degree (Laurea Magistrale) GEOLOGICAL SCIENCES AND TECHNOLOGIES A.Y. 2022/2023
Course year: 1 Second cycle degree (Laurea Magistrale) ELECTRONICS AND COMMUNICATIONS ENGINEERING A.Y. 2022/2023

Completion accademic year: 2021/2022

Course year: 2 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2020/2021
Course year: 1 Second cycle degree (Laurea Magistrale) GEOLOGICAL SCIENCES AND TECHNOLOGIES A.Y. 2021/2022
Course year: 1 Second cycle degree (Laurea Magistrale) ELECTRONICS AND COMMUNICATIONS ENGINEERING A.Y. 2021/2022

Research

Ultime pubblicazioni:

  • Abady, L., Barni, M., Garzelli, A., Tondi, B. (2024). Generation of synthetic generative adversarial network-based multispectral satellite images with improved sharpness. JOURNAL OF APPLIED REMOTE SENSING, 18(1), 1-28 [10.1117/1.JRS.18.014510]. - view more
  • Garzelli, A., Zoppetti, C., Arienzo, A., Alparone, L. (2023). Spatial Resolution Enhancement of Prisma Hyperspectral Data Via Nested Hypersharpening with Sentinel-2 Multispectral Data. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp.5997-6000). New York : IEEE [10.1109/IGARSS52108.2023.10281961]. - view more
  • Alparone, L., Garzelli, A., Lolli, S., Zoppetti, C. (2023). Full-scale assessment of pansharpening: why literature indexes may give contradictory results and how to avoid such an inconvenience. In Proc. SPIE 12733, Image and Signal Processing for Remote Sensing XXIX (pp.127330201-127330212). SPIE [10.1117/12.2684389]. - view more
  • Vivone, G., Garzelli, A., Xu, Y., Liao, W., Chanussot, J. (2023). Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 16, 166-179 [10.1109/JSTARS.2022.3220974]. - view more
  • Alparone, L., Garzelli, A., Zoppetti, C. (2023). Fusion of VNIR Optical and C-Band Polarimetric SAR Satellite Data for Accurate Detection of Temporal Changes in Vegetated Areas. REMOTE SENSING, 15(3) [10.3390/rs15030638]. - view more