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Advanced Image Analysis

University of Twente

Certificate / Diploma Short course Enschede

Course description

Qualification Certificate
Field of study Mathematics, natural sciences and computer science
Course summary In this course, you will be introduced to advanced image analysis methods enabling to further enrich your geoinformation problem solving abilities.
Course description In this course, you will be introduced to advanced image analysis methods enabling to further enrich your geoinformation problem solving abilities. Image processing and analysis methods treated in previous courses, such as conventional hard pixel based classification do not take into account spatial correlations in images and therefore do not exploit information contained in images to full extent. In addition, such methods cannot correctly treat mixed pixels, uncertain class definitions and data from various sources, making them insufficient for reliable geoinformation extraction. In this course we aim to treat more specialized image analysis methods. In particular, Support Vector Machines and Random Forest will be introduced for multisource classification at pixel level whereas Convolutional Neural Networks and Markov random fields will be introduced for contextual classification. These methods will be applied to analysis of satellite images at a pixel and some methods at a sub-pixel levels. The methods introduced in this course will be applied on real case studies.
Study subjects -
Course objectives -
ECTS credits 5.00
Duration 33 day(s)
full-time
Language of instruction English
Instruction modes group assignment, individual assignment, lecture, practicum, self study
Accreditation NVAO

About the institution

Department -
Information about the institution The University of Twente is where talent can best realize its full potential. Students and staff are the key. Together they ensure pioneering research, relevant innovation and inspiring education.

Admission

Admission requirements
  1. Applicants should have a bachelor’s degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.
  2. Applicants should have a bachelor’s degree or equivalent from a recognized university in a discipline related to the course, preferably combined with working experience in a relevant field.
Language requirements
Cambridge Certificate in Advanced English C1
Cambridge Certificate of Proficiency in English C2
IELTS overall band 6.0
TOEFL internet based 80
TOEFL paper based 550
Professional experience required -
Duration 33 day(s)
full-time
Application deadlines
Start date EU/EEA Students Non-EU/EEA students
7 Oct 2019 12 Aug 2019 12 Aug 2019
Tuition fees
Year EU/EEA Non-EU/EEA Institutional
2019 (FT)n.a.n.a.€ 1116

In short, the following rules apply:

  • The “EU/EEA rate” is the regular fee for students from within the EU/EEA.
  • The “non-EU/EEA rate” is the rate for students from outside the EU/EEA.
  • The “institutional rate” is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level.
  • Note that FT, PT and D stand for "full-time", "part-time" and "dual", respectively.

Make sure you contact your institution to find out what rate applies to you. The rates listed here are estimates.

Scholarships

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For more scholarships, visit: www.grantfinder.nl

Course website More information about the course

Contact

Contact information for the study programme

Tina Tian

education-itc@utwente.nl

Contact information for the institution

Studie Informatiecentrum

study info

study@utwente.nl

Telephone number
Course website More information about the course
Institution website More information about the institution