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Perform both unsupervised and supervised classification, optimizing the accuracy of land cover maps. |
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Incorporate ancillary data such as aerial photography, GPS data and ground truth surveys. |
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Perform unsupervised classification routines and attribute manipulation. |
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Define training signatures using AOIs and vector data. |
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Manipulate supervised signatures within the signature editor. |
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Evaluate supervised signatures statistically and graphically. |
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Collect and evaluate signatures using feature space images. |
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Apply a land cover classification decision rule to an image. |
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Evaluate and enhance the classification with the threshold and masking utilities. |
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Perform an accuracy assessment of the classification using ground survey data Address confused classes with Spatial Modeler. |