This tutorial introduces the user to working with Sample Statistics and the Accuracy Assessment tool within eCognition Developer to apply a supervised classification on an satellite image. The goal is to create a Land Cover Classification based on samples and also determining the accuracy of the resulting classification.

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You will learn how to use samples that are available as a shapefile (Samples_training.shp) and how to convert them to sample statistics which then will be used to train a supervised model (and apply it). Furthermore, you will also learn how to do an Accuracy Assessment based on information stored in a shapefile (Samples_validation.shp). The ‘Accuracy Assessment’ tool generates a typical error matrix that computes the user’s and producer's accuracies as well as kappa and other useful statistics related to the accuracy of the classification.

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For questions that may arise during this tutorial, please consult the online help or the offline help documents: ReferenceBook.pdf or the UserGuide.pdf. In addition, you can also refer to the eCognition Knowledge Base.

Further information about eCognition products is available on our website: www.eCognition.com.

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