Universität Wien

290012 PR Applied Image Processing and Remote Sensing (2014S)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

MI, 19.03.2014/ 26.03.2014/ 02.04.2014/ 09.04.2014/ 07.05.2014/ 21.05.2014/ 28.05.2014, 15.00-18.00 c.t., Ort: Computerkartographie Geographie NIG 1.OG (MM-Labor)

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).

Details

max. 20 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

During the course basic image processing steps (global and local grey scale value operations, filtering, geocoding, classification, Image merging), which are presented theoretical in the Wintersemester, are discussed and applied to satellite images. ERDAS Imagine is used as image processing software. The practical work is performed in small groups on PCs in the GIS lab.

Assessment and permitted materials

Practical exercises
Presentation
Written copy of the presentation

Minimum requirements and assessment criteria

The course aims at providing practical expertise in the processing of digital satellite imagery.

Examination topics

Earth observation from space borne sensors is a fast developing technology. 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 develop methods and techniques for transforming the huge amount of data acquired by satellite sensors into useful information for the different fields of application. A prerequisite to perform this task is not only the knowledge of basic principles of remote sensing but also expertise in computer assisted processing of digital imagery.

Reading list

Course papers from the PS "Image Processing and Remote Sensing" (WS)

Association in the course directory

(MK1-W2-PI)

Last modified: Mo 07.09.2020 15:42