Efficient technique for the classification of satellite images using fuzzy rule classifier

The proposed technique is used classify the satellite image into barren land, vegetation area, building area and road area. Initially, the satellite image is pre-processed and then is then segmented to have segments of barren land, vegetation area, building area and road area. The featuresof the segmented area are extracted and then final classification is carried out using fuzzy rule classifier. In the result section, classified output satellite images obtained are shown and proposed technique is evaluated by means of accuracy parameter. The accuracy obtained is high having an average of 92.56%. We also compare to normal graph cut and from the results, it is proved that our proposed technique using modified graph cut have obtained better results.