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.

Large Dataset Processing in eCognition: Overlapping Tile Method

This video is part of the AmericaView eCognition software tutorial series. It explains a work flow known as "Overlapping Tile Processing." Overlapping tile processing is an efficient method for processing very large datasets using eCognition Server. It is one way of overcoming the memory limitations that are inherent to object-based image analysis.

This presentation is recommended for intermediate to advanced users of eCognition.