@inproceedings{d254f63e77fd4db5ac4da43cefdedf7c,
title = "Yapay Sinir Aǧlari ile Uzaktan Algilama G{\"o}r{\"u}nt{\"u}lerinin B{\"o}l{\"u}tlenmesi",
abstract = "In this study, a novel unsupervised incremental neural network is proposed for the segmentation of remote sensing images. Feature vectors are formed by the intensity of one pixel of each channel. The trainning set of DAYS network is formed by using all pixels of the image. The remote sensing image is segmented according to the decision of the network. In the study, the segmentation results of DAYS and Kohonen networks are compared",
author = "Tamer {\"O}lmez and Z{\"u}mray Dokur",
year = "2004",
language = "T{\"u}rk{\c c}e",
isbn = "0780383184",
series = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004",
pages = "84--86",
editor = "B. Gunsel",
booktitle = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004",
note = "Proceedings of the IEEE 12th Signal Processing and Communications Applications Conference, SIU 2004 ; Conference date: 28-04-2004 Through 30-04-2004",
}