eCognition Understanding Images
Web-based / Self-Study Training
We offer self-study eCourses and Guided Tours, available 24/7, no cost, no travel, for independent study.
The eCourses are short and focused and provided via webbrowser, the Guided Tours are designed as a in-depth, hands on tutorial with data and manual for download.
The eSeminars are provided as live webinar, please check the Training Calendar and Registration.[overview training formats]
Learning the Essentials
Guided Tour
Guided tours are designed for use together with eCognition Developer. Step-by-step instructions guide the user through the creation of a specific image analysis solution ruleset.
If you do not have a eCognitionDeveloper software license, simply download the Quickstart package.
Guided Tour 1: Gettings started - Example: simple building extraction
The Guided Tour1 is designed as a hands-on manual to learn the first steps in the software and the “object-oriented way of thinking”. The user will create a basic building extraction segmenting and classifying airborne RGB and LiDAR data. [read more]
Becoming an Expert
eSeminars
Introduction to Workpace Automation
Objective: Learn how to automate analysis using eCognition Server
- The set up of “subroutines” including how and where to insert workspace automation algorithms
- Module 1: Overview of the different functionalities of the individual workspace automation algorithms
- Module 2: Tiling and stitching using workspace algorithms
Introduction to condition-based object merging and growing
Objective: Learn how to use the algorithm 'image object fursion' from three case examples:
- Case 1: how to set conditions according the resulting object after the fusion
- Case 2: how to set the parameters to fuse only those objects which have a high ‘relative border’ to each other., but not isolated objects
- Case 3: how to fuse only those objects which have similar values for a feature (i.e. with a similar elevation)
Guided Tour
Level 2 : Mapping Impervious Surface
One step beyond basic, hands-on exercises of a more complex image analysis routine. [read more]
Subject Oriented / Expert Knowledge
eSeminars
Change detection with thematic layer
This eSeminar shows change detection accomplished by comparing a classification with the content of a thematic layer. [read more]
How to use elevation information
Introduction to segmentation and classification methods using elevation data. As example data LiDAR is used. [read more]
Guided Tour
Guided Tour 3: Advanced building extraction
This Guided Tour provides strategies for using LiDAR data to classify building footprints. [read more]
Training Calendar
