Clustering (unsupervised classification) In a supervised classification, the signature file was created from known, defined classes (for example, land-use type) identified by pixels enclosed in polygons.ħ. Once you determine the training samples are representative of the desired classes and are distinguishable from one another, a signature file can be created using the Create Signature File tool in the manager window.Ħ. Depending on the outcome of the training sample evaluation, you may need to merge the classes that are overlapping each other into one class.ĥ. The manager provides you with three tools to evaluate the training samples-the Histograms tool, the Scatterplots tool, and the Statistics tool. When training samples are drawn in the display, new classes are automatically created in the Training Sample Manager. Training samples can be created interactively using the training sample drawing tools on the Image Classification toolbar.ģ. In supervised classification, training samples are used to identify classes and calculate their signatures. The classification analysis is based on the assumption that the band data and the training sample data follow normal distribution.Ģ. Image Classification Using The ArcGIS Spatial Analyst PreviewĨ hours ago 1.
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