Extracting multiple features
We may specify multiple features to be extracted from each object/region. Say, we wish to extract two spectral indices that we have defined already and some shape representation of each object. First, we need to select a specific spectral index
and then choose the desired representation in the Add representation combo to include it in the list
.

Available feature types
- Mean spectrum: mean spectrum computed using all pixels specified
- Spectral feature histogram for the selected spectral feature, exists of a histogram of 20 equally sized bins between the min and max boundaries defined in the Visualization panel
- Spectral feature mean for the selected spectral feature
- Foreground pixel count
- Class fraction for the class selected in the Classes list
- Regression output for the selected regression variable
- Object count within the region
- Object shape: Feret diameter: shape representation providing minimum and maximum caliper distance for the object mask
- Object shape moments: a set of 7 Hu shape moment invariants and an object eigenvalue ratio
- Object shape circularity describes how far certain object shape is from a circle, three features are provided, namely Circularity, the Area/Perimeter ratio and the Perimeter
In our example, we defined the following features:

Below a screenshot of the exported Excel file with indicated 5 feature groups:
