Knowledge-based classification of high resolution optical and microwave images

Abstract: The aim of this study is to classify the optical and microwave features in terms of separation of urban land cover classes. As the classification methods, statistical maximum likelihood classification and knowledge-based method are used and the results are compared. Overall, the research indicated that multisource information can significantly improve the interpretation and classification of land cover types.