Setting up and running SVM classification

To run an SVM classification, you must have a training data set for Object Analyst to learn from and create a classification model that is used to predict the class membership of the population.

To set up and run an SVM classification

  1. In the Object Analyst window, in the SVM kernel list, select from the following the kernel you want:
    • Linear
    • Polynomial
    • Radial-basis function
    • Sigmoid
  2. If you want to normalize the data during classification, select the Normalize data check box.
  3. Return to Setting up and running Supervised Classification.

Parent topic: Setting up and running Supervised Classification

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