Product Description
These slides provide an introduction to concepts and methods of Object-based image analysis. The slides have been prepared for and used in the virtual GEOBIA summer school in 2020.
Learning outcomes
- Understand the principles of spatial image analysis.
- Discuss specific advantages of OBIA over pixel-based approach.
- Apply OBIA concepts and analyse complex image content.
- Examine different segmentation and object-based classification methods.
BoK concepts
Links to concepts from the EO4GEO Body of Knowledge used in this course:
- > IP | Image processing and analysis
- > IP | Image understanding
- > IP3-7 | Object-based image analysis (OBIA)
- > IP3-7-1 | Class modelling
- > IP3-7-2 | Hierarchical representation
- > IP3-7-3 | Per-parcel analysis
- > IP3-7-4 | Spatial features
- > IP3-7-4-1 | Distance and proximity features
- > IP3-7-4-2 | Planar geometric features
- > IP3-7-4-3 | Topological features
- > IP3-5 | Image segmentation
- > IP3-7 | Object-based image analysis (OBIA)
- > IP | Image understanding
Material preview
Ownership
Designed and developed by: Stefan Lang, University of Salzburg.
Contributors: Barbara Hofer, Eva Missoni and Simon Donike.
License: Creative Commons Attribution-ShareAlike.
Education level
EQF 6 (what is this?)
Language
English
Creation date
2020-08-27
Access
Find below a direct link to the HTML presentation.
Find below a link to the GitHub repository where you can download the presentation.
