Collect a representative number of training samples for each class in your schema.

Using a sketch tool, delineate the image feature representing the class on the map.

Click a segment in the map to add it as a training sample.

Click the drop-down arrow to select the segmented layer that you want to collect training samples from.

To use the Segment Picker, the segmented image must be loaded into the Contents pane.

Remove the selected class or subclass category from the schema.Ĭomplete the following steps to create the training samples: Select the name of an existing class to create a subclass. Select the name of the schema first to create a new parent class at the highest level.

Use the default 2011 National Land Cover Database schema.Īdd a class category to the schema.

Generate a new schema from an existing classified raster.

Generate a new schema from an existing training sample feature class.

Right-click the New Schema title and click Add New Class to begin creating class categories.

Activate the Segment Picker by highlighting the segmented layer in the Contents pane, and then select the layer from the Segment Picker drop-down list.Ĭreate a new classification schema. This option is only available if there is a segmented layer in the Contents pane. The Classification Tools menu is unavailable if the active map is a 3D scene, or if the highlighted image is not a multiband image.Ĭreate a training sample by drawing a polygon around pixels or objects in the raster.Ĭreate a training sample by drawing a circle around pixels or objects in the raster.Ĭreate a training sample by drawing a freehand shape around pixels or objects in the raster.Ĭreate a training sample by selecting a segment from a segmented layer. Select the raster dataset you want to classify in the Contents pane to display the Imagery tab, and be sure you are working in a 2D map. The Training Samples Manager is found in the Classification Tools drop-down menu in the Image Classification group on the Imagery tab. Tools in the Training Samples Manager pane allow you to create training samples for each class category in your schema and provide information about the number and size of samples to help you improve the accuracy of your classification model. The class categories are determined by your classification schema, and the training samples can be generated using the Training Samples Manager pane. In supervised image classification, you need to train the classifier to assign pixels or objects to a given class using training samples.

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