The Introduction to eCognition course covers all basic and some advanced functionality of eCognition. Trainees should have a good understanding of remote sensing prior to this training. Experience in image analysis is helpful. After training the trainees will be able to apply eCognition's main strategies to their own data.
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Insertion of different kinds of input data and their formats into eCognition
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eCognition's segmentation strategy to create objects
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eCognition's object hierarchy to create a network of objects
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eCognition's built in object features
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eCognition's supervised sample-based classification strategy
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eCognition's supervised rule-based classification strategy
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Creation of semantic rule-base
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Reproducibility of classification results
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Iterative optimization process using classification based segmentation
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Export functionality to GIS
No experience with eCognition software is required.
