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  2. Volume 5, Issue Issue العدد الخاص - الجزء الثانی
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ISSN: 1997-9428

Volume5, IssueIssue العدد الخاص - الجزء الثانی

A Comparison of Mamdani and Sugeno Inference Systems for a Satellite Image Classification

    Muntaser AbdulWahed Salman

Anbar Journal for Engineering Sciences, 2012, Volume 5, Issue Issue العدد الخاص - الجزء الثانی, Pages 296-306

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Abstract

This research provides a comparison between the performances of Sugeno type versus Mamdani-type fuzzy inference systems. The main motivation behind this research was to assess which approach provides the best performance for satellite image classification. The performance of each approach has been evaluated for six bands (from Landsat-5) for West Iraq image classification and compared with traditional method (Maximum likelihood), based on pixel-by-pixel technique. Due to the importance of performance in online systems we compare the Mamdani model, used previously, with a Sugeno formulation using four types of membership function (MF) generation methods. The first method triangular membership function using the mean, minimum and maximum of the histogram attribute values. The second approach generates triangular membership function using the peak and the standard deviation of attributes values. The third procedure generates Gaussian membership function using the mean and the standard deviation of the histogram attributes values. The fourth approach generates Gaussian membership function using the peak and the standard deviation of the histogram attributes values. The results show that the Mamdani models perform better in most of the case under study.
Keywords:
    Fuzzy inference system Classification Membership function Remote sensing West Iraq images
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(2012). A Comparison of Mamdani and Sugeno Inference Systems for a Satellite Image Classification. Anbar Journal for Engineering Sciences, 5(Issue العدد الخاص - الجزء الثانی), 296-306.
Muntaser AbdulWahed Salman. "A Comparison of Mamdani and Sugeno Inference Systems for a Satellite Image Classification". Anbar Journal for Engineering Sciences, 5, Issue العدد الخاص - الجزء الثانی, 2012, 296-306.
(2012). 'A Comparison of Mamdani and Sugeno Inference Systems for a Satellite Image Classification', Anbar Journal for Engineering Sciences, 5(Issue العدد الخاص - الجزء الثانی), pp. 296-306.
A Comparison of Mamdani and Sugeno Inference Systems for a Satellite Image Classification. Anbar Journal for Engineering Sciences, 2012; 5(Issue العدد الخاص - الجزء الثانی): 296-306.
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Journal Information

Publisher: University of Anbar

Email:  ajes.uoanbar.edu.iq

Editor-in-chief: Prof. Dr. Yousif Al Mashhadany

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