The application of fuzzy clustering to satellite images data

Authors:
Hizir Sofyan;Md. Azlin Md. Said;Muzailin Affan;Khaled Bawahidi
Affiliations:
Mathematics Department, Syiah Kuala University, Banda Aceh, Indonesia;School of Aerospace Engineering, Universiti Sains Malaysia, Penang, Malaysia;Mathematics Department, Syiah Kuala University, Banda Aceh, Indonesia;School of Aerospace Engineering, Universiti Sains Malaysia, Penang, Malaysia
Venue:
FS'05 Proceedings of the 6th WSEAS international conference on Fuzzy systems
Year:
2005

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Implementation and comparison of contemporary data clustering techniques for a multi-compressor system: a case study

WSEAS Transactions on Systems and Control

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Abstract

In this study, a fuzzy clustering method that we implemented in statistical software package (XploRe), GIS (GRASS) and remote sensing (ERDAS) were used to classify and preset multi-spectral Landsat TM images. Comparatively, the result of this investigation shows that the underlying structures and patterns from satellite images data can be classified more precisely than the conventional ones.