Start InterIMAGE. Click on File → New Project and fill the fields according to the following:
Check the Default Image checkbox and click the Add button. Click OK.
Create a semantic net like this one:
(Class names shouldn't contain blank spaces or special characters)
Select the Image tab and click the Add button. Set its Keyname to composed and click the Composition button.
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In the dialog that appears set the color composition according to the image below:
Close the dialog. Click Save. Another image layer is added and you should see something like this:
Save the project. Select the Scene node and click the Samples Editor button.
Maximize the window that appears. Select the TA_Baatz_Segmenter operator. Set its parameters according to the following:
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Click the Segment button. Once the segmentation is finished, make sure the Buildings class is selected and click the Collect Samples button.
Now, click on some objects that belong to the Buildings class (To deselect an object just click it again).
When you are done, repeat the process to the other two classes. Setting the Background Image to the other composition created previously can be helpful here.
After, click the Collect Samples again, deselecting it.
Click the Export button. In the window that appears click the Class button. Select All and click OK.
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Click the Expression button. Set the fields according to the image below:
After, create another three expressions. Your decision rule should look like this:
Click OK. Set the file name to samples.shp and Click Save.
Save the project. Once the project is saved click on File → Edit Project. Fill the fields according to the following:
Click the Add button and then click OK.
Associate the TA_C45_Classifier top-down operator to the Buildings node. Set the operator parameters according to the image below. Make sure the TopDown Multi-class checkbox is checked.
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Save the project and execute the interpretation.
You can improve your classification collecting more samples for the classes that presented more confusion and repeating the process.