Image Data Processing

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Geomatics

Synopsis:

The subject comprises basic methods used for remote sensing

image data (raster data) processing, or other image data

processing as preprocessing, image rectification, image

enhancement, image classification and connection with GIS

applicable for various data types. Seminars are devoted to most

important tasks of practical image processing

Requirements:

Syllabus of lectures:

1. Image definition, overview of the subject

2. Image rectification and restauration

3. Simple methods of image enhancement

4. Complex methods of image enhancement

5. Image enhancement of multichannel images

6. Image classification - unsupervised

7. Image classification - supervised

8. Accuracy and precision of classification

9. Neural networks

10. Radar data 1st part

11. Radar data 2nd part

12. Hyperspectral data

13. Image segmentation, textural classification

14.

Syllabus of tutorials:

Study Objective:

Study materials:

1. Thomas L. Lillesand, Ralph W. Kiefer: Remote sensing and image interpretation

2. Milan Sonka, Vaclav Hlavac, Roger Boyle: Image Processing, Analysis and Machine Vision, PWS Publishing 1999

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: