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Supervised: In Supervised Classification, the analyst identifies the classes by image interpretation techniques and collects signatures for making feature classes. Unsupe ... See More
Unsupervised classification is based on pixel data of the image. Preferably raw image data is used to generate varios tags (clusters) of the image that are later used for ... See More
Unsupervised classification is where the outcomes (groupings of pixels with common characteristics) are based on the software analysis of an image without the user provid ... See More
In supervised classification we have training data collected from region of interests indentify those region in the image and classification is performed In unsupervised ... See More
In supervised classification analyst identify the classes and directs the computer to classify accordingly. Unsupervised classification makes clusters/classes based on th ... See More