Kızılltepe tarımsal alan i̇mgeleri̇ni̇n Gabor Dalgacık Dönüşümü i̇le sınıflandırılması
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Tarih
2012
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info:eu-repo/semantics/closedAccess
Özet
In this research, images of Kiziltepe (Mardin) agricultural land are classified based on development in different period of crops (1-sowing term, 2-little ripe term, 3-ripe term and 4-harvest term). The digital crop images are derived from TARIT (Agricultural Crop Forecast and Following Project) stations. The texture feature vectors are obtained from images of different crop periods with using Gabor Wavelet Transform (GWT) which is very popular method for image texture extraction. GWT based feature vectors are applied to different type of classifiers as inputs and the performance results of each system are compared. For classification the crop images, Multilayer Perceptron (MLP) neural network and k-Nearest Neighbor (k- NN) methods are used. Finally, the best average performance is observed as 98.01 % in 24-35-4 network structure of MLP neural n© 2012 IEEE.
Açıklama
2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla-- 90786
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2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
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Acar, E. ve Özerdem, M. S. (2012). Kızılltepe tarımsal alan i̇mgeleri̇ni̇n Gabor Dalgacık Dönüşümü i̇le sınıflandırılması. 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings.
