A New Method for Extraction of Residential Areas from Multispectral Satellite Imagery

This paper presents a new method for residential areas extraction from multispectral satellite imagery. First, the image is preprocessed so that non-residential areas noises such as vegetation regions, shadows and water areas are removed. Second, the preprocessed image is classified into two categories by texture features: residential areas class and non-residential areas class. Finally, the residential areas class is refined by using a series of morphology operations. The experimental results show that this method is effective in extracting residential areas from multispectral satellite imagery.