Spectral classes are groups of pixels that have uniform or nearly similar brightness values in the different spectral channels of the data. The spectral attributes of the classes used to train the computer are determined by the spectral channels that you choose to include in the training and classification process. You can use Focus to match the information classes you create with a spectral class in the image data.
Once you have set the RGB values for true color, you can define the spectral attributes for the ground cover you want to classify. You must choose a set of data channels that will define the spectral attributes or signatures in your classes.
Once you have added channels, you must select them in the Session Configuration window so that they receive the classification output. If you have not added empty channels, you must select channels that you intend to overwrite.
The details of the configuration setup are now shown in the Maps tree and the reference image opens in the view pane. The Training Site Editor window opens with a blank training channel. The training channel is now write-enabled and ready for you to begin collecting your training sites.
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