Uydu Verilerinin Obje Temelli Bulanık Mantık Yöntemi İle ...

Remote sensing techniques monitor environment both locally and globally. It alsoperforms quickly and economically [3].The results for the evaluation of the data obtained from satellites, provides a majorcontribution to research on the earth. It is also quite important to use this software inaddition to the human factor. Additionally, using this software assist to processing dataquickly and provide a very large of data storage [4].Object-Based Classification, structure, textures, and takes into account the spectralinformation. This classification phase starts with the neighboring’s classification andtransformation after this process it creates reasonable regions. This type ofsegmentation and topology formation, and removal of a resolution should be setaccording to the scale of the objects. With this method, the singular pixels areclassificated as well as during the previous segmentation step also occur in ahomogeneous image objects. This segmentation can be done different resolutions; italso allows distinguishing the layers of categories [5].This research analyses and examines one of the significant tourism villages, Alacati’stemporal variation of the coastal line. It will be made by using remote sensing data.First of all, the research describes basic definition of primarily coastal, remote sensing,satellite, satellite images and classification. After that, it explains the software and howthey are used late in the research, is used what purpose are explained. Lastly, itevaluates data which is obtained from the software.Also, in the case of the first to examine temporal changes in Alacati 1995 analyzed withaerial photo of the 1963 Corona satellite image. After, using the Coast-Fit software [1]Corona 1963, Landsat 1975, 1995, 2007 of the air photos and aster satellite imageswere obtained for the years of coastal lines and It based on classification of Landsatsatellite images of 1975 and 2007 by using Aster Alacati samples were determined byyears of land use areas. In the last section, using of the shoreline and land results arecreated data and the thesis is evaluated this data in greater details.Key words: Coastal line, remote sensing, temporal change, Landsat, Corona and Astersatellite images, Coast- Fit software, Object-Based Classification.xiiYILDIZ TECHNICAL UNIVERSITYGRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCE