Image processing for Earth observation
Summary
This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover or risk maps.
Content
Courses content:
- Basic concepts of remote sensing and digital imaging
- Platforms and sensors
- Information extraction, filtering, visual information
- Image classification, with machine and deep learning algorithms
- Project: study a real world problem using remote sensing and image processing techniques.
Learning Prerequisites
Recommended courses
Machine learning CS-433
Important concepts to start the course
Intermediate skills in Python programming are considered a pre-requisite. All the exercises will be in Python. Basic knowledge in Pytorch is an advantage.
Learning Outcomes
By the end of the course, the student must be able to:
- Design an appropriate image processing pipeline to address a geospatial problem
- Analyze the results of a machine learning methods
- Implement an end to end machine learning pipeline
- Discuss the pros and cons of different remote sensing sensors
Transversal skills
- Collect data.
- Access and evaluate appropriate sources of information.
- Summarize an article or a technical report.
- Write a scientific or technical report.
- Use both general and domain specific IT resources and tools
Expected student activities
- Following classes
- exercises (individual or in small groups)
- preparing presentations
- reading club or research papers
- final projects in small groups
Assessment methods
- Mid-term written test (50% of the final mark)
- Project report (50% of the final mark)
Resources
Ressources en bibliothèque
Moodle Link
Dans les plans d'études
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Projet: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Projet: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Projet: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Projet: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel
- Semestre: Automne
- Forme de l'examen: Pendant le semestre (session d'hiver)
- Matière examinée: Image processing for Earth observation
- Cours: 2 Heure(s) hebdo x 14 semaines
- Exercices: 1 Heure(s) hebdo x 14 semaines
- Type: optionnel