• Course code:63835K
  • Credits:5
  • Semester: summer
  • Contents

Machine learning for remote sensing 

The course will combine two very complementary topics. On the one hand, we have machine learning, a methodological framework for building prediction models based on statistics of data. On the other hand, we have remote sensing, a prime example of which is Earth observation using a growing number of satellites. These satellites produce enormous quantities of sensory data that can only be analyzed using computers. Through individual research projects, the course will explore the opportunities and challenges of using machine learning methods on remote sensing data.

  • Study programmes
  • Distribution of hours per semester
15
hours
lectures
15
hours
tutorials
20
hours
tutorials
  • Professor
Course Organiser
Room:R2.17 - Kabinet