Image Classification is the process that has been done for extraction of valuable regions from the image. In this paper various approaches have been discussed that has been used for process of image classification. Supervised image classification and unsupervised image classification has been widely used for classification process. Classification has the major advantage that provides information about the various regions that are scattered over the satellite image. This has been used for prediction of percentage of various regions under different maps. Supervised classification approaches are based on machine learning algorithms that have been used for different types of prediction and decision making processes. On the basis of various approaches that have been discussed in this paper one can predict best approach for image classification process.