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Interval Type-2 Fuzzy C-Means Clustering with Spatial Information for Land-Cover Classification

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Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9011))

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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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Author information

Authors and Affiliations

  1. Department of Information Systems, Le Quy Don Technical University, 236, Hoang Quoc Viet, Hanoi, Vietnam

    Sinh Dinh Mai & Long Thanh Ngo

Authors
  1. Sinh Dinh Mai
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  2. Long Thanh Ngo
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Correspondence to Long Thanh Ngo .

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Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15701-6

  • Online ISBN: 978-3-319-15702-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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