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Authors: Rauf Kh. Sadykhov 1 ; Andrey V. Dorogush 1 and Leonid P. Podenok 2

Affiliations: 1 University of Informatics and Radioelecrtronics, Belarus ; 2 Laboratory of System Identification, United Institute of Informatics Problems, National Academy of Sciences of Belarus, Belarus

ISBN: 978-972-8865-86-3

Abstract: Segmentation method for subject processing the multispectral satellite images based on fuzzy clustering and preliminary non-linear filtering is represented. Three fuzzy clustering algorithms, namely Fuzzy C-means, Gustafson-Kessel, and Gath-Geva have been utilized. The experimental results obtained using these algorithms with and without preliminary nonlinear filtering to segment multispectral Landsat images have approved that segmentation based on fuzzy clustering provides good-looking discrimination of different land cover types. Implementations of Fuzzy C-means, Gustafson-Kessel, and Gath-Geva algorithms have got linear computational complexity depending on initial cluster amount and image size for single iteration step. They assume internal parallel implementation. The preliminary processing of source channels with nonlinear filter provides more clear cluster discrimination and has as a consequence more clear segment outlining.

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Paper citation in several formats:
Kh. Sadykhov R.; V. Dorogush A.; P. Podenok L. and (2007). Fuzzy Clustering Methods in Multispectral Satellite Image Segmentation.In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2007) ISBN 978-972-8865-86-3, pages 91-98. DOI: 10.5220/0001635200910098

@conference{anniip07,
author={Rauf {Kh. Sadykhov} and Andrey {V. Dorogush} and Leonid {P. Podenok}},
title={Fuzzy Clustering Methods in Multispectral Satellite Image Segmentation},
booktitle={Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2007)},
year={2007},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001635200910098},
isbn={978-972-8865-86-3},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2007)
TI - Fuzzy Clustering Methods in Multispectral Satellite Image Segmentation
SN - 978-972-8865-86-3
AU - Kh. Sadykhov, R.
AU - V. Dorogush, A.
AU - P. Podenok, L.
PY - 2007
SP - 91
EP - 98
DO - 10.5220/0001635200910098

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