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GRSS & IADF

IADF SCHOOL

Computer Vision for Earth Observation | 3rd Edition
UNIVERSITY of SANNIO, BENEVENTO
SEPTEMBER 10, 2024 – WELCOME EVENT
SEPTEMBER 11-13, 2024 – THE SCHOOL
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IEEE Geoscience and Remote Sensing Society

Third IADF School on

Computer Vision for Earth Observation

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 third 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 30 to guarantee high-quality lessons with good interaction. If a higher number of registrations is received, the organizing committee will select 30 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.

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:

September 10, 2024 – 16:00 CEST WELCOME EVENT

17:45 – 18:00 CEST

Quantum Computing for Remote Sensing use cases

September 11, 2024

09:00 – 09:30 CEST

GREETINGS

09:30 – 11:00 CEST

Deep Learning in Super-resolution (Part I)

Prof. Mercedes Eugenia Paoletti & Zhaoyue Wu, University of Extremadura, Spain

11:00 – 11:30 CEST

COFFEE BREAK

11:30 – 13:00 CEST

Deep Learning in Super-resolution (Part II)

Prof. Mercedes Eugenia Paoletti & Zhaoyue Wu, University of Extremadura, Spain

13:00 – 14:00 CEST

LUNCH

14:00 – 15:30 CEST

Deep Learning for SAR Data Analysis (Part I)

Prof. Michael Schmitt & Dr. Francescopaolo Sica, University of the Bundeswehr, Germany

15:30 – 16:00 CEST

COFFEE BREAK

16:00 – 17:30 CEST

Deep Learning for SAR Data Analysis (Part II)

Prof. Michael Schmitt & Dr. Francescopaolo Sica, University of the Bundeswehr, Germany

September 12, 2024

09:30 – 11:00 CEST

Machine Learning and Earth Observation for the Sustainable Development Goals (Part I)

Prof. Claudio Persello, University of Twente, Netherlands

11:00 – 11:30 CEST

COFFEE BREAK

11:30 – 13:00 CEST

Machine Learning and Earth Observation for the Sustainable Development Goals (Part II)

Prof. Claudio Persello, University of Twente, Netherlands

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 13, 2024

09:30 – 11:00 CEST

From Pixels to Insights (Part I)

Dr. Fabio Pacifici, Maxar Technologies, USA

11:00 – 11:30 CEST

COFFEE BREAK

11:30 – 13:00 CEST

From Pixels to Insights (Part II)

Dr. Fabio Pacifici, Maxar Technologies, USA

13:00 – 14:00 CEST

LUNCH

14:00 – 15:30 CEST

Responsible AI: A Few Examples in Remote Sensing (Part I)

Prof. Pedram Ghamisi & Mr. Weikang Yu, Helmholtz-Zentrum Dresden-Rossendorf, Germany

15:30 – 16:00 CEST

COFFEE BREAK

16:00 – 17:30 CEST

Responsible AI: A Few Examples in Remote Sensing (Part II)

Prof. Pedram Ghamisi & Mr. Weikang Yu, Helmholtz-Zentrum Dresden-Rossendorf, Germany

17:30 – 17:45 CEST

CLOSING

Organizing Committee

Silvia Ullo

University of Sannio, Italy

[email protected]

Gemine Vivone

National Research Council, Italy

[email protected]

Ronny Hänsch

German Aerospace Center, Germany

[email protected]

Claudio Persello

University of Twente, The Netherlands

[email protected]

Gülşen Taşkın

Istanbul Technical University, Turkey

[email protected]

Dalton Lunga

Oak Ridge National Laboratory, USA

[email protected]

Ujjwal Verma

Manipal Institute of Technology, India

[email protected]

Speakers

Claudio Persello

Fabio Pacifici

Francescopaolo Sica

Zhaoyue Wu

Mercedes E. Paoletti

Michael Schmitt

Pedram Ghamisi

Weikang Yu

Benevento UNESCO World Heritage Site

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.

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REGISTRATION FORM

Deadline for registration: 15 June 2024