This video is the second AmericaView object-based image analysis (OBIA) virtual seminar series. This video is intended for users new to eCognition or for those users looking to improve segmentation performance.
Jarlath O'Neil-Dunne from the University of Vermont provides an overview of the most common segmentation algorithms available in
eCognition including:
- Incorporate thematic (vector) datasets by turning them into image objects
- How to reduce processing time by stringing together multiple segmentation algorithms, using sub-levels, and maps
- Alternatives to multiresolution segmentation
- Compare segmentation results using maps.
If you are an eCognition user, you can download the project containing the data and the rule set from the
eCognition Community web site.
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ReplyDeleteThe content covered, such as incorporating thematic datasets into image objects, optimizing processing time through algorithm combinations, exploring alternatives to multiresolution segmentation, and comparing segmentation results using maps, is incredibly informative for those involved in remote sensing, GIS, or environmental analysis.
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