期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：1655-1660
出版社：Copernicus Publications
摘要：Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have contributed to integrated urban studies. This project is an attempt to use remote sensing technology so as to monitor the urban sprawl of the city of Thessaloniki and detect the changes occurred through the years. The changes are identified by imposing object-oriented classification on very high resolution images. The imagery data particularly includes two pan-sharpened images of Quickbird and Ikonos, dated July 2003 and July 2006 respectively. A rule-based classification technique is applied by using fuzzy functions, aiming to extract information of the urban spatial structure. Object-oriented algorithms are recommended in this case because they incorporate both spectral and spatial information. To identify the land cover types more effectively, additional semantic information is essential; for this purpose indices like the Normalized Difference Vegetation Index (NDVI) are also calculated
