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Image Fusion

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Image Processing using Pulse-Coupled Neural Networks

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

In a multi-spectral environment information about the presence of a target is manifest across the spectra. Detection of these targets requires the fusion of these different kinds of data. However, image fusion is difficult due to the large volume of data. Typically each detector channel does not provide enough information to detect the target with a significant level of confidence. Thus, each channel provides clues only and hints as to the presence of the target.

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References

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Authors and Affiliations

  1. Department of Physics, Royal Institute of Technology, 24 Frescativagen, S-104 05, Stockholm, Sweden

    Thomas Lindblad PhD

  2. The Institute for Biosciences, Bioinformatics and Biotechnology, MSN 4E3, George Mason University, 10900 University Boulevard, Manassas, VA, 20100, USA

    Jason M. Kinser DSc

Authors
  1. Thomas Lindblad PhD
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  2. Jason M. Kinser DSc
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© 1998 Springer-Verlag London

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Lindblad, T., Kinser, J.M. (1998). Image Fusion. In: Image Processing using Pulse-Coupled Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3617-0_10

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  • DOI: https://doi.org/10.1007/978-1-4471-3617-0_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76264-5

  • Online ISBN: 978-1-4471-3617-0

  • eBook Packages: Springer Book Archive

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