Accuracy of Classified Imagery without using Reference Data Set

For the validation aspect the estimation of accuracy of classifiers is significant factor of analyzing the result of classifiers. If the pixel found in single class. So we prefer the hard classification. But satellite data does not find in single class. The pixel of satellite data belongs more than one class. So in that case we prefer the soft classification. The classification is only one parameter and other parameter is assessment of accuracy and we know without assessment of accuracy classification of classifiers is incomplete. There are several method to find out the the accuracy of classifiers like MLC, FERM, RMSE, and Entropy. Accuracy results are generated for soft classified data set from AWiFS, LISS-III and LISS-IV sensor. The output results from tool used to investigation effect of sampling on assessed accuracy.