InterIMAGE Examples: Rule-Based Classification

This example shows how to perform a single classification of pools and roofs in a small image, through rule-based classification.

This project is called “pools_and_roofs” and uses the operator TerraAIDA_Baatz_Segmenter.

The InterIMAGE interpretation project can be downloaded here: download

The image used in this example is the following:

After creating the InterIMAGE project, we should inserted three nodes, namely pools, roofs and background. All nodes will have the top down operator TerraAIDA_Baatz_Segmenter, as showed in the figure below.

To classify, we can use the attribute ratio for band 1, as the following:

• pools
  • ratio(band 1) < 0.3
• roofs
  • ratio(band 1) > 0.4
• background
  • ratio(band 1) >= 0.3 AND ratio(band 1) < = 0.4

The next figure shows the rule for node “roofs”.

After inserting the rules and starting the project, the resultant classification will show as the following: