Material for Towards Realistic and Trustworthy Super-Resolution for Multispectral Remote Sensing Images at IADF School 2025.
- Prof. Luis Gómez-Chova - Image Processing Laboratory (IPL), University of Valencia, Spain
- Mr. Cesar Aybar - Image Processing Laboratory (IPL), University of Valencia, Spain
- When: Tuesday, September 17, 2025
- Part I: 13:40 – 15:10 CEST
- Part II: 15:30 – 17:00 CEST
- Where: University of Sannio, Benevento, Italy
- Event: 4th IADF School on Computer Vision for Earth Observation
| Time (CEST) | Topic | Materials |
|---|---|---|
| 13:40-15:10 | Part I: Fundamentals & Theory | 📖 Introduction to Super-Resolution |
| 15:10-15:30 | ☕ Coffee Break | |
| 15:30-17:00 | Part II: Hands-on Implementation | 🚀 Tutorial 1: Training SR models 🔬 Tutorial 2: Inference SR models ⚡ Tutorial 3: Benchmarking and evaluation |
By the end of this tutorial, participants will be able to:
- 🛰️ Understand the fundamentals of super-resolution for multispectral remote sensing imagery
- 🔍 Analyze different approaches for realistic and trustworthy super-resolution
- 🧠 Implement deep learning models for satellite image enhancement
- 📊 Evaluate super-resolution quality using appropriate metrics
- 🎨 Apply state-of-the-art techniques to real Sentinel-2 data
- 🔬 Assess model trustworthiness and reliability
- Basic knowledge of Python programming
- Familiarity with remote sensing concepts
- Understanding of deep learning fundamentals
- Google account for Google Colab access
For questions about this tutorial, please contact:
- Prof. Luis Gómez-Chova: [email protected]
- Mr. Cesar Aybar: [email protected]
For general IADF School questions: [email protected]
- IEEE Geoscience and Remote Sensing Society (GRSS)
- IADF School organizing committee
- University of Valencia - Image Processing Laboratory (IPL)
- University of Sannio, Benevento
Made with ❤️ for the ISP group