Abstract
This work proposes a general image classification method, based in possibility theory and clustering. We illustrate our approach with a CBERS image and compare the results obtained by applying our method to other classification methods.
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Drummond, I., Sandri, S. (2004). A Clustering-Based Possibilistic Method for Image Classification. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_46
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DOI: https://doi.org/10.1007/978-3-540-28645-5_46
Publisher Name: Springer, Berlin, Heidelberg
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