Universität Wien

290234 VO Image Processing and Remote Sensing (2025S)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie
Moodle
Mo 23.06. 16:45-18:15 Hörsaal 4C Geographie NIG 4.OG C0409

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Register/Deregister for this course

Details

max. 100 participants
Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 03.03. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 10.03. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 17.03. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 24.03. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 31.03. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 07.04. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 28.04. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 05.05. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 12.05. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 26.05. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409
  • Monday 02.06. 16:45 - 18:15 Hörsaal 4C Geographie NIG 4.OG C0409

Information

Aims, contents and method of the course

The lecture aims at providing the fundamentals of remote sensing and basics of digital image processing. This requires an understanding of physical fundamentals of remote sensing and the properties of sensors, knowledge of mathematical and statistical models and algorithms for analysing the data and finally an insight into application processes, where the extracted information is used.
Earth observation represents a major information source for geo-applications. New fields of remote sensing application are evolving due to the improvement of spatial and spectral resolution. But data acquisition alone is not sufficient to benefit from these technological developments. It is rather necessary to apply methods and techniques for transforming the huge amount of data acquired by satellite sensors into useful information for the different fields of application.

Lecture with discussion

Assessment and permitted materials

The exam will be held digitally with attendance in the GIS and MM lab. Please complete the necessary group registration in the Moodle course (additionally to the u:space registration).

Exam with single-choice and multiple-choice questions.

Minimum requirements and assessment criteria

In order to receive a positive evaluation of the lecture, the written examination must be passed (min. 23 points).
45 points can be achieved.

Detailed information on the exam can be found on the Moodle platform of the course!

Examination topics

Slides and supporting exam preparation materials are made available via the Moodle platform.

Reading list

Albertz J. (2007): Einführung in die Fernerkundung. Grundlagen der Interpretation von Luft- und Satellitenbildern.
Lillesand T. M. und Kiefer R. W. (2000): Remote Sensing and Image Interpretation.

Association in the course directory

(BA GG 4.1)

Last modified: We 21.05.2025 08:46