A soft computing approach for obtaining transition regions in satellite images

Authors:
Jorge Morales;Jesus A. Gonzalez;Carlos A. Reyes-Garcia;Leopoldo Altamirano
Affiliations:
INAOE, Coordination of Computer Science, Tonantzintla, Puebla, México and Regional Centre of Science and Technology Education for Latin America and the aribbean, Tonantzintla, Puebla, Mé ...;INAOE, Coordination of Computer Science, Tonantzintla, Puebla, México and Regional Centre of Science and Technology Education for Latin America and the aribbean, Tonantzintla, Puebla, Mé ...;INAOE, Coordination of Computer Science, Tonantzintla, Puebla, México;INAOE, Coordination of Computer Science, Tonantzintla, Puebla, México and Regional Centre of Science and Technology Education for Latin America and the aribbean, Tonantzintla, Puebla, Mé ...
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

Most of the current satellite image classification methods consider rough boundaries among homogeneous regions. However; real images contain transition regions where pixels belong, at different degrees, to different classes. With this motivation, in this paper we propose a satellite image classification method that allows the identification of transition regions among homogeneous regions. Our solution is based on Soft Computing because of its ability to handle the uncertainties present in nature. We present our method as well as preliminary results that show how our method is able to solve real world problems.