Abstract
The paper proposes a method to use spatial information to interval type-2 fuzzy c-Means clustering (IT2-FCM) for problems of land cover classification from multi-spectral sattelite images. The spatial information between a pixel and its neighbors on individual band is used to calculate an interval of membership grades in IT2-FCM algorithm. The proposed algorithm, called IIT2-FCM, is implemented on Landsat7 images in comparison with previous algorithms like k-Means, FCM, IT2-FCM to demonstrate the advantage of the approach in handling uncertainty or noise.
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Mai, S.D., Ngo, L.T. (2015). Interval Type-2 Fuzzy C-Means Clustering with Spatial Information for Land-Cover Classification. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9011. Springer, Cham. https://doi.org/10.1007/978-3-319-15702-3_38
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DOI: https://doi.org/10.1007/978-3-319-15702-3_38
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