#supervised_classification_ENVI, #ClassificationInENVI,
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Supervised classification is one of the machine learning approaches. While no training data are used in unsupervised classification, supervised classification relies on an analyst to define the classes that the data are classified into and provide the training data of each defined class.
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Supervised classification is the technique most often used for the quantitative analysis of remote sensing image data. At its core is the concept of segmenting the spectral domain into regions that can be associated with the ground cover classes of interest to a particular application
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In supervised classification, you select training samples and classify your image based on your chosen samples. Your training samples are key
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