Image classification is the process of extracting information classes, such as land-cover categories, from multiband remote sensing imagery. The workflow involves multiple steps to progress from preprocessing to segmentation, training sample selection, training, classifying, and assessing accuracy. Each step may be iterative, and the process requires in-depth knowledge of the input imagery, classification schema, classification methods, expected results, and acceptable accuracy.
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