Satellite imageries are widely available from various sources which can be used for Land use/Land cover analysis. Land use/Land cover analysis is necessary for environmental monitoring, urban planning and natural resource analysis. In this paper, we have used newly created algorithm- Multi Objective Algorithm (MOA) which is the combination of two metaheuristic algorithms for classification of satellite imageries. Classification result was compared with the KNN (K-Nearest Neighbour) algorithm. In this view, satellite imageries of Delhi and Shenyang were used for the experiment purpose. Also accuracy of classification was measured using the error matrix/kappa coefficient and was compared with the KNN classification technique. The classification results of the two major cities indicate a substantial difference in the percentage of overall accuracy and kappa coefficient value.

Classification, Land use/Land Cover, K-Nearest Neighbour, MOA, Accuracy Assessment

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