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Example 3 - Performing a supervised classification

This example shows how to perform a supervised classifiation using InterIMAGE.

Database

Example 3 - Database

This zip file contains:

  • tijuca.tif

Step by step

  • Start InterIMAGE. Click on FileNew Project and fill the fields according to the following:

New Project

  • Check the Default Image checkbox and click the Add button. Click OK.
  • Create a semantic net like this one:

Semantic net

  • Select the Image tab and click the Add button. Set its Keyname to composed and click the Composition button.

Image layer

  • In the dialog that comes up set the color composition according to the image below:

Color Composition dialog

  • Close the dialog. Click Save. Another image layer is added and you should see something like this:

Image layer added

  • Save the project. Select the Scene node and click the Samples Editor button.

Open Samples Editor

  • Maximize the window that comes up. Select the TA_Baatz_Segmenter operator. Set its parameters according to the following:

Selecting the operatorSetting the operator parameters

  • Click the Segment button. Once the segmentation is finished, make sure the Buildings class is selected and click the Collect Samples button.

Collect samples


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