Panorama sur les methodes de classification des images satellites et techniques d'amelioration de la precision de la classification

Abstract

In recent years, many advanced classification approaches, such as artificial neural networks, decision trees, fuzzy sets, have been widely applied for image classification. Each classification method has its own merits. Select an appropriate classification approach for a specific study is not easy. Different classification results can be obtained according to the selected classifier(s). In this paper, we review various methods of classification with an analysis and comparative study. We also present techniques to improve the accuracy of the classification of land cover.