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A Preliminary Study Using Granular Computing for Remote Sensing Image Segmentation Involving Roughness

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Brain Informatics (BI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7670))

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Abstract

Granular computing partitions the universe into granules, allowing for their further analysis. For several years granular computing has been used to address problems in the field of machine learning, image analysis and data mining. In this paper, we discuss the application of granular computing to remote sensing image segmentation. A granule merging algorithm involving roughness is proposed.

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Author information

Authors and Affiliations

  1. Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada

    Ge Cui & Xin Wang

Authors
  1. Ge Cui
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  2. Xin Wang
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Editor information

Editors and Affiliations

  1. Department of Enterprise Engineering, University of Rome “Tor Vergata”, Viale del Politecnico, 1, 00133, Roma, Italy

    Fabio Massimo Zanzotto

  2. Department of Medical Informatics, Faculty of Medicine, Shimane University, 89-1 Enya-cho, 693-8501, Izumo-city, Shimane, Japan

    Shusaku Tsumoto

  3. Department of Artificial Intelligence, Faculty of Mathematics and Natural Sciences, University of Groningen, Nijenborgh 9, 9747 AG, Groningen, Netherlands

    Niels Taatgen

  4. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Yiyu Yao

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© 2012 Springer-Verlag Berlin Heidelberg

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Cui, G., Wang, X. (2012). A Preliminary Study Using Granular Computing for Remote Sensing Image Segmentation Involving Roughness. In: Zanzotto, F.M., Tsumoto, S., Taatgen, N., Yao, Y. (eds) Brain Informatics. BI 2012. Lecture Notes in Computer Science(), vol 7670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35139-6_28

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  • DOI: https://doi.org/10.1007/978-3-642-35139-6_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35138-9

  • Online ISBN: 978-3-642-35139-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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