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Supervised Image Classification

The method used here to identify and calculate the land cover amount of the study area. In this process researcher manually input some supervised samples in ArcGis software, later the software itself calculate the pixel of the image data and shows the output. The amount of land cover uses of an area can be calculated by the help of production. In this case, the land cover shows the amount of increase or decrease meant for a particular land cover category.

Unsupervised image classification

 Unsupervised image classification is the process by which each image in a dataset is identified to be a member of one of the inherent categories present in the image collection without the use of labelled training samples.