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A Pixel-Level Multisensor Image Fusion Algorithm Based on Fuzzy Logic

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

A new multisensor image fusion algorithm based on fuzzy logic is proposed. The membership function and fuzzy rules of the new algorithm is defined using the Fuzzy Inference System (FIS) editor of fuzzy logic toolbox in Matlab 6.1. The new algorithm is applied to fuse Charge-Coupled Device (CCD) and Synthetic Aperture Rader (SAR) images. The fusion result is compared with some other fusion algorithms through some performance evaluation measures for the fusion effect, and the comparison results show that the new algorithm is effective.

The work is supported by aeronautical science fund of P. R. China (03D51007).

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References

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Author information

Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100083, China

    Long Zhao, Baochang Xu, Weilong Tang & Zhe Chen

Authors
  1. Long Zhao
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  2. Baochang Xu
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  3. Weilong Tang
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  4. Zhe Chen
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhao, L., Xu, B., Tang, W., Chen, Z. (2005). A Pixel-Level Multisensor Image Fusion Algorithm Based on Fuzzy Logic. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_89

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  • DOI: https://doi.org/10.1007/11539506_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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