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A Method to Enhance the Remote Sensing Images Based on the Local Approach Using KMeans Algorithm

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Advances in Information and Communication Technology (ICTA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 538))

Abstract

The image enhancement methods based on fuzzy logic make image which quality higher clearly the traditional methods. However, actually, the methods still use the global approach, so having difficulty to enhance all land covers in remote sensing images. This paper presents a local approach based new algorithm of image enhancement for the remote sensing images, calculating thresholds automatically and combination multiple gray adjust operators.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Vietnam Academy of Science and Technology, Post and Telecommunications Institute of Technology, Hanoi, Vietnam

    Trung Nguyen Tu, Duc Dang Van, Huy Ngo Hoang & Thoa Vu Van

Authors
  1. Trung Nguyen Tu
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  2. Duc Dang Van
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  3. Huy Ngo Hoang
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  4. Thoa Vu Van
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Corresponding author

Correspondence to Trung Nguyen Tu .

Editor information

Editors and Affiliations

  1. School of Information Science、Area of Human Life Design , Japan Advanced Institute of Science and Technology, Nomi-shi, Ishikawa, Japan

    Masato Akagi

  2. Department of Computer Science, VNU University of Engineering and Technology, Hanoi, Vietnam

    Thanh-Thuy Nguyen

  3. Faculty of Information Technology, Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Duc-Thai Vu

  4. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Trung-Nghia Phung

  5. School of Knowledge Science、Area of Knowledge Management , Japan Advanced Institute of Science and Technology, Nomi-shi, Ishikawa, Japan

    Van-Nam Huynh

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Tu, T.N., Van, D.D., Hoang, H.N., Van, T.V. (2017). A Method to Enhance the Remote Sensing Images Based on the Local Approach Using KMeans Algorithm. In: Akagi, M., Nguyen, TT., Vu, DT., Phung, TN., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2016. Advances in Intelligent Systems and Computing, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-49073-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-49073-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49072-4

  • Online ISBN: 978-3-319-49073-1

  • eBook Packages: EngineeringEngineering (R0)

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