An Overview of eCognition Segmentation Algorithms

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.