Information Extraction from High Resolution RS Image for Update of A GIS

Abstract: The aim of this study is to extract land cover information from the high resolution satellite image and check the reliability to update thematic layers in a geographical information system (GIS). For the extraction of information from the selected remote sensing (RS) data set, a refined maximum likelihood classification (MLC) method that incorporates both spectral and spatial characteristics is constructed.