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Analysis of Land Cover Classes Using Unsupervised and Supervised Classification of Stennis Space ... - page 15 / 31

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Cluster Busting

1.To Identify  the class that is mixed and needs reclassification

5.

Select in IMAGINE, Interpreter – Utilities – Mask

6.

The input Mask file is the unsupervised classification that was created from the Unsupervised Image

A recode is set up to tell IMAGINE what class has to break out.  The Recode button is selected to see all the classes plus a new column called “New Value”.

A Mask is created to cut only one class from the original image.  To do this, all but one class is set to 0.  The class that needs to kept is assigned the value 1.  

This is done by highlighting in yellow the class which has to break out of the image.  

A right mouse button is clicked over the very left hand column (Value). Then  “Inverse Selection” button on right hand column is clicked.  

7.This operation highlights every other class.  At this stage, the New Value is set to O at the bottom of the dialog box.  Then, the button “Change Selected Rows”  is clicked to create the Mask.

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