Abstract
We present a segmentation method using fuzzy sets theory applied to remote sensing image interpretation. We have developed a fuzzy segmentation system in order to take into account complex spatial knowledge involving topologic attributes and also relative position of searched areas in membership degrees images. A membership degrees image represents the membership degrees of each pixel to a given class and is supposed obtained by a previous classification (involving simple contextual knowledge). To improve this previous classification, we introduce structural rules which allow us to manage with region characteristics. These structural characteristics are obtained by using a fuzzy segmentation technique.
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© 1995 Springer-Verlag Berlin Heidelberg
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Wendling, L., Zehana, M., Desachy, J. (1995). Fuzzy segmentation and structural knowledge for satellite image analysis. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_335
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DOI: https://doi.org/10.1007/3-540-60298-4_335
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