Skip links
grssvector240
iadfvector
unisannio
cosine_nl_logo
intelligentia_logo
GRSS & IADF

IADF SCHOOL

Computer Vision for Earth Observation | 4th Edition
UNIVERSITY of SANNIO, BENEVENTO
SEPTEMBER 16, 2025 – WELCOME EVENT
SEPTEMBER 16-19, 2025 – THE SCHOOL
Apply

Welcome Adress: Auditorium Sant’Agostino

IEEE Geoscience and Remote Sensing Society

Fourth IADF School on

Computer Vision for Earth Observation

Understanding the Earth through modern technology has become especially important in recent decades. Organizations such as the IADF School actively teach remote sensing methods to monitor climate change, natural disasters, biodiversity and ensure efficient resource management. This knowledge becomes especially valuable when it comes to rapid response and decision-making based on accurate data received from orbital or airborne platforms.

However, in today’s digital world, technology is not only used in the scientific or humanitarian fields. The entertainment industry, including gambling, also actively uses modern digital tools to analyze user behavior, predict trends and improve security. For example, the websitetofsports.chhas studied a wide overview of online casinos aimed at an international audience. Such content is especially interesting for those looking for new gaming platforms with original features, loyalty systems and the opportunity to spend time in a comfortable digital environment.

The connection between science and entertainment is becoming increasingly obvious: both areas strive to use data to improve the user experience. Studying at IADF School allows you to take a broader view – both at planetary processes and at the algorithms that underlie modern digital services, including gaming platforms.

Remote sensing techniques are utilized for a better understanding of the Earth and have impacted applications in weather forecasting, tracking biodiversity, land management, post-disaster relief, rescue management, and policymaking, to name a few. The amount of data acquired from sensors onboard Earth Observation (EO) satellites is increasing. For example, it is expected that Sentinel satellites will produce ten terabytes of EO data once fully operational. The availability of data from multiple sensors and satellites provides an opportunity to develop innovative methodologies for remote sensing applications.

As the IEEE GRSS IADF, after the success of the first school on Computer Vision for Earth Observation (CV4EO), we are pleased to announce its fourth edition open to everybody who has a strong motivation and interest in the topics addressed by it. This school will focus on applying CV methods to address challenges in remote sensing. It will be held in presence at the University of Sannio, in Benevento (Italy).

This school will focus on applying CV methods to address challenges in remote sensing. This school will contain a series of lectures on the existing methods utilized for analyzing satellite images, along with the challenges encountered. Each lecture will be followed by a practical session where the participants will go deep into the details of the techniques discussed in the lecture using some commonly used programming languages (e.g., Python) and open-source software tools. The material related to both lectures and practical sessions will be released to the audience.

The school is open to everybody who has a strong motivation and interest in the topics addressed by it. Participation is free of charge a completely supported by IEEE GRSS. The number of participants is limited to 60 to guarantee high-quality lessons with good interaction. If a higher number of registrations is received, the organizing committee will select 60 participants and the recorded lessons of the course will be later distributed through the GRSS YouTube channel. All will receive a certificate confirming their attendance at the school.Discover unbeatable value in every detail with our replica panerai.

Covered Topics

  1. Machine Learning in Remote Sensing
  2. Big Geo-Data
  3. Multi-source Image Analysis
  4. SAR Image Analysis
  5. Deep, Interpretable Remote Sensing
  6. Quantum Computing for Earth Observation
  7. Super-resolution
  8. Sustainable Development Goals

Contact emails:

  • ullo@unisannio.it
  • iadf_chairs@grss-ieee.org

CEST: Central European Summer Time

September 16, 2025

16:00 CEST

Welcome address

18:30 CEST

Light Dinner

September 17, 2025

09:00 – 09:30 CEST

GREETINGS

09:30 – 11:00 CEST

Self-Supervised Learning for Multi- and Hyperspectral Foundation Models (Part I)

Dr. Behnood Rasti and Mr. Nassim Ait Ali Braham, Technische Universität Berlin, Berlin, Germany, Institute for the Foundations of Learning and Data, Germany, German Aerospace Center, Germany, Technical University of Munich, Germany

11:00 – 11:20 CEST

COFFEE BREAK

11:20 – 12:50 CEST

Self-Supervised Learning for Multi- and Hyperspectral Foundation Models (Part II)

Dr. Behnood Rasti and Mr. Nassim Ait Ali Braham, Technische Universität Berlin, Berlin, Germany, Institute for the Foundations of Learning and Data, Germany, German Aerospace Center, Germany, Technical University of Munich, Germany

12:50 – 13:40 CEST

LUNCH

13:40 – 15:10 CEST

Towards Realistic and Trustworthy Super-Resolution for Multispectral Remote Sensing Images (Part I)

Prof. Luis Gómez-Chova and Mr. Cesar Aybar, Image Processing Laboratory (IPL), University of Valencia,
Spain

15:10 – 15:30 CEST

COFFEE BREAK

15:30 – 17:00 CEST

Towards Realistic and Trustworthy Super-Resolution for Multispectral Remote Sensing Images (Part II)

Prof. Luis Gómez-Chova and Mr. Cesar Aybar, Image Processing Laboratory (IPL), University of Valencia,
Spain

17:00 CEST

CITY TOUR

September 18, 2025

09:30 – 11:00 CEST

Quantum Machine Learning for Earth Observation (Part I)

Prof. Silvia Liberata Ullo and Dr. Alessandro Sebastianelli, University of Sannio, Italy, ESA ɸ-lab, Italy

11:00 – 11:30 CEST

COFFEE BREAK

11:30 – 13:00 CEST

Quantum Machine Learning for Earth Observation (Part II)

Prof. Silvia Liberata Ullo and Dr. Alessandro Sebastianelli, University of Sannio, Italy, ESA ɸ-lab, Italy

13:00 – 14:00 CEST

LUNCH

14:00 – 15:30 CEST

POSTER & PANEL

15:30 – 16:00 CEST

COFFEE BREAK

16:00 – 17:30 CEST

POSTER & PANEL

18:30 – 22:00 CEST

GALA DINNER

September 19, 2025

09:30 – 11:00 CEST

Visual Question Answering on Remote Sensing Images (Part I)

Prof. Sylvain Lobry and Ms. Lucrezia Tosato, Université Paris Cité, France

11:00 – 11:30 CEST

COFFEE BREAK

11:30 – 13:00 CEST

Visual Question Answering on Remote Sensing Images (Part II)

Prof. Sylvain Lobry and Ms. Lucrezia Tosato, Université Paris Cité, France

13:00 – 14:00 CEST

LUNCH

14:00 – 15:30 CEST

Physics aware and explainable AI for EO image understanding (with demo of Digital Twin Earth system components) (Part I)

Prof. Mihai Datcu, German Aerospace Center, Germany

15:30 – 16:00 CEST

COFFEE BREAK

16:00 – 17:30 CEST

Physics aware and explainable AI for EO image understanding (with demo of Digital Twin Earth system components) (Part II)

Prof. Mihai Datcu, German Aerospace Center, Germany

17:30 – 18:00 CEST

FINAL EXAM AND SURVEY

18:00 – 18:15 CEST

CLOSING

Organizing Committee

Silvia Ullo

University of Sannio, Italy

ullo@unisannio.it

Gemine Vivone

National Research Council, Italy

gemine.vivone@imaa.cnr.it

Ronny Hänsch

German Aerospace Center, Germany

rww.haensch@gmail.com

Claudio Persello

University of Twente, The Netherlands

c.persello@utwente.nl

Gülşen Taşkın

Istanbul Technical University, Turkey

gulsen.taskin@itu.edu.tr

Dalton Lunga

Oak Ridge National Laboratory, USA

lungadd@ornl.gov

Ujjwal Verma

Manipal Institute of Technology, India

ujjwal.verma@manipal.edu

Speakers

Alessandro Sebastianelli

About

Behnood Rasti

About

Luis Gómez-Chova

About

Mihai Datcu

About

Nassim Ait Ali Braham

About

Silvia Liberata Ullo

About

Sylvain Lobry

About

César Luis Aybar Camacho

About

Lucrezia Tosato

About

Venue and Accomodations

Sant’Agostino, University of Sannio, Benevento

For any information, feel free to write an e-mail to the following address: ullo@unisannio.it
For the accomodation, please check the Accomodation List

HOW TO REACH BENEVENTO

🚊 Suggested routes from key locations:

🚗 Suggested routes to reach Benevento by car:

  • From Napoli take A16/E842 towards Canosa/Bari, take exit Benevento/Castel del Lago, merge onto Raccordo autostradale R9 and take exit at Benevento Centro following the direction for Arch of Trajan (Arco di Traiano).
  • From Rome take A1/E45 towards Napoli and then follow the previous directions from Napoli.
  • From Bari take A16/E842 towards Napoli, take exit Benevento/Castel del Lago, merge onto Raccordo autostradale R9 and take exit at Benevento Centro following the direction for Arch of Trajan (Arco di Traiano).

Upon arriving near the Arch of Trajan (Arco di Traiano) in Benevento, in the nearby you can reach the parcking area Parcheggio Via del Pomerio (https://maps.app.goo.gl/Houxiepeq91mRt7z6), which is close to the conference location.

Benevento UNESCO World Heritage Site with the Church of Santa Sofia and the Strada Appia

Italy dominates the World Heritage Sites list, according to UNESCO, the United Nations’ cultural branch. It has 43 locations listed considered as places of outstanding cultural and historical value. This is more than any other European country and practically all major styles of Western architecture can be found in Italy.

5
4
3
2