A Comparison of the supervised classification methods
1996
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Danışman: Y.doç.dr. Vedat Peştemalci
Özet (EN)
vn ABSTRACT In this study, supervised classification methods (Maximum Likelihood, Nearest Neighbour, Minimum Distance, Box, Elipsoid and Triangle) to make classification for remote sensing data have been compared each other according to accuracy and computer processing time. These methods have been applicated on a LANDSAT-TM image of an agricultural area in Adana by home made programs about image processing. At the result of these classification processes, numbers of pixels of occurent classes and computer processing time have been determined and discussed differences among them.
Yazar
Dr. Mehmet Haluk Seçilmiş
Bu Yayına Nasıl Atıf Yapılır
Mehmet Haluk Seçilmiş (Master Thesis). A Comparison of the supervised classification methods, 1996, Çukurova University.
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Lisans
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