GARZELLI ANDREA

Presentation

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 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

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Theses

Research theses on remote sensing image processing are available.

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Teaching activities

Completion accademic year: 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

Completion accademic year: 2020/2021

Course year: 2 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2019/2020
Course year: 1 Second cycle degree (Laurea Magistrale) ELECTRONICS AND COMMUNICATIONS ENGINEERING A.Y. 2020/2021

Completion accademic year: 2019/2020

Course year: 2 First cycle degree (DM 270) COMPUTER AND INFORMATION ENGINEERING A.Y. 2018/2019

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. (2024). Large-Scale Fine-Grained Change Detection from Multisensory Satellite Images. In Signal and Image Processing for Remote Sensing (pp. 355-368). Boca Raton : CRC Press. - view more
  • Lolli, S., Alparone, L., Arienzo, A., Garzelli, A. (2024). Characterizing Dust and Biomass Burning Events from Sentinel-2 Imagery. ATMOSPHERE, 15(6) [10.3390/atmos15060672]. - 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
  • Alparone, L., Argenti, F., Arienzo, A., Garzelli, A. (2024). Increasing the Detection Accuracy of Bi-Temporal Changes via Speckle Whitening of Single-Look Complex Synthetic Aperture Radar Images. IEEE ACCESS, 12, 32334-32348 [10.1109/ACCESS.2024.3370413]. - view more