Supervised classification is a type of supervised learning that categorizes input data into predefined labels1. It involves training a model on labeled examples to learn patterns between input features and output classes. In supervised classification, the image analyst supervises the pixel categorization process2. The classification process consists of three stages: Training stage, Classification stage and Output stage.
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