Image Data Processing
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
D53IDP | ZK | 3 | 2P+1C | English |
- 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:
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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: