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Unmanned Aerial Vehicles for Scene Understanding

Unmanned Aerial Vehicles (UAVs) are becoming a valid alternative to traditional Geomatics acquisition systems, as they close the gap between higher resolution terrestrial images and the lower resolution airborne and satellite data. UAVs can be remotely controlled helicopters, fixed wind airplanes or kites. This course deals with algorithms and techniques for scene information extraction from images. Both geometric (i.e. 3D reconstruction) and semantic (i.e. 2D image understanding) aspects are described in the course.

In this course the 2D and 3D scene analysis will be explained, with focus on the use of data acquired by UAVs. The course is composed by two main parts. In the first part (first week), the participants will focus on 2D scene analysis (semantic segmentation, object detection and tracking) while during the second part (second and third week) the participants will gain hands-on experience on the use of UAVs. The second part of the course will be given together with the course on “Unmanned aerial vehicles for remote sensing”.

At the end of the course the participants will submit the output of a group assignment on the dealt topics, the quality of which will contribute to the course mark.


Are you a mid-career professional and national of -and living and working in one of the countries listed here? You might consider applying for a scholarship from the Orange Knowledge Programme (former NFP).

Deadline intake 2019 passed
The application deadline has now passed for intake 2019. We will publish the new call for intake 2020 here. Please have a regular look at our website or follow us on Facebook or LinkedIn for further announcements!


  1. The scene understanding algorithms: contour detection, semantic segmentation, object detection and tracking
  2. State-of-the-art deep learning algorithms
  3. Use of the commercial software to manage photogrammetric process
  4. Analysis and evaluation of results generated by photogrammetric process using simple tools and the available ground truth
  5. UAV image acquisition and processing for geo-information purposes
  6. The use of UAVs in different domains: urban monitoring, disaster mapping, land administration, urban monitoring, food security.

Teaching and learning approach

The course will be composed by lectures (with the use of flipped classrooms when necessary), practical, supervised and unsupervised assignments and fieldwork for UAV image acquisitions. The student will learn how to correctly process the acquired images receiving both the theoretical and practical knowledge and gaining in self-confidence and independence during the course.

About your diploma

Upon successful completion of this course, you will receive a Certificate which will include the name of the course. 

Along with your Certificate you will receive a Course Record providing the name, and if applicable, all the subjects studied as part of the course. It states: the course code, subject, EC credits, exam date, location and the mark awarded.

This certificate course is part of the accredited Master’s  Geo-information Science and earth Observation at ITC. If you decide to take the full Master’s Geo-information Science and Earth Observation at ITC, the Examination Board will give you in principle exemption from the course you followed successfully as a certificate course.

Admission requirements

Academic level and background

Applicants for the Certificate programme should have a Bachelor degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.

Some courses in the Certificate programme or separate modules require knowledge of, and skills in, working with GIS and/or digital image processing of remotely sensed data.

Skills in taught or related subjects are a prerequisite for some courses in the Certificate programme or separate modules. Even if the applicant satisfies the overall admission requirements, acceptance is not automatic.


The faculty accepts transcripts, degrees and diplomas in the following languages: Dutch, English, German, French and Spanish. It is at the discretion of the faculty to require additional English translations of all documents in other languages as well.

English language

As all courses are given in English, proficiency in the English language is a prerequisite.

If you are a national of one of the countries in this list (PDF), you are exempted from an English language test.

Please note: the requirements when applying for fellowships may vary according to the regulations of the fellowship provider.

English language tests: minimum requirements

Only internationally recognised test results are accepted.

TOEFL Paper-based Test (PBT)


TOEFL Internet-based Test


British Council / IELTS



C2 Proficiency / C1 Advanced

Computer skills

Applicants lacking computer experience are strongly advised to follow basic courses in their home countries.

Key information

5 weeks
Full-time (no part-time programs possible)
100% English taught
Enschede, Netherlands
Tuition fees
2019 / 2020
full-time, institutional
€ 1.116