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## Results, Discussions And Conclusions

In the presentation of these results, comparison is made between derived maps from the individual SVMs and the ensemble system. Figure 2 shows the derived map following the utilisation of the linear classifier. Similar land cover maps were derived for the RBF and quadratic SVMs and are illustrated in Figures 3 and 4 respectively. The key observation in this map is the presence of mixed pixels which are characteristic of linear SVM classifiers. The RBF and quadratic classifiers are less prone to mixed pixels. Figure 5 shows the result of ensemble system. From the derived maps it can be seen that the ensemble system has greatly enhanced the visual appeal of the linear SVM. Secondly, from a visual perspective, the derived map from the ensemble system is similar to that of the rbf and quadratic SVM. To further appreciate these results, error matrices were derived for each of these maps from which the overall kappa was calculated. A summary of the results is shown in Table 1. 