Divisão de Observação da Terra e Geoinformática

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===== Training and Visualizing your Data =====

In the //Train// tab, you can create your classes and assign some samples in the image to the classes. GeoDMA uses this information to train the supervised classification algorithm.

{{geodma:creating_training_classes.png?300|}}

After creating your classes, you should select samples in your data. You can select one polygon per click, or more than one, defining a region, using buttons //Pointer Cursor// or //Graphic Cursor//, respectively.

{{geodma:selecting_samples.png?300|}}

When you select the samples from one class, go to GeoDMA window, select the class and click //Associate//. In TerraView, unselect all samples and perform the same for all your classes.

In the tab //Visualization// you can view scatterplots of your attributes, also showing the samples that you have selected in the //Training// step. Select the //x// and //y// axis, adjust the sampling rate and click //Plot//.

{{geodma:visualizing_attributes.png?300|}}

That's it! Now you have trained your supervised algorithm, and visualized your attributes!

[[geodma:manual_02|Go back to the manual.]]