Efficiency of Fuzzy Algorithms in Segmentation of Urban Areas with Applying HR-PR Panchromatic Images (Case study of Qeshm city)

The process of urban development is like a fuzzy process; Therefore, fuzzy segmentation and urban space monitoring using HR-PRS panchromatic images is one of the best tools in urban management and planning. In this study, panchromatic images of GeoEye-1 sensor related in the urban area of Qeshm has been used for analyzing the application of operation of the methods of fuzzy segmentation and clustering. Thus, for analyzing the operation of algorithms of FWS, MSA, IDF and CFM and using MATLAB software, 6 qualitative criteria has been described in three spatial categories, radiometric and spatial-radiometric. Using these methods and based on fuzzy characteristics, the input images have been fused and then, with application of fuzzy clustering method, and fusion output, which has a fuzzy nature, Thus, this article appears to study the segmentation of urban area. The result of the research confirms the efficiency of the suggested segmentation methods in terms of recognition of phenomena and man-made and spatial effects and exact exploitation of the information of satellite images. The method of FWS discloses the best performance in terms of segmentation of urban areas. Therefore, according to the research results, the use of clustering algorithms and fuzzy features is a suitable and optimal method for integrating HR-PRS satellite image information from urban area with the aim of segmentation.