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Computational Intelligence for Remote Sensing pp 125–144Cite as

On Content-Based Image Retrieval Systems for Hyperspectral Remote Sensing Images

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 133))

Summary

This chapter includes a review of some key elements of Content Based Image Retrieval Systems (CBIR). We place into this context the the works found in the literature regarding remote sensing images. Our own focus is on hyperspectral images. The approach we are pursuing is that of characterizing the spectral content of the image through the set of endmembers induced from it. We describe some ideas and numerical experiments for a system that would perform CBIR on hyperspectral remote sensing images . We propose a spectral image similarity to guide the search to answer the queries.

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Author information

Authors and Affiliations

  1. Computational Intelligence Group, UPV/EHU,  

    Miguel A. Veganzones, José Orlando Maldonado & Manuel Graña

Authors
  1. Miguel A. Veganzones
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  2. José Orlando Maldonado
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  3. Manuel Graña
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Manuel Graña Richard J. Duro

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© 2008 Springer-Verlag Berlin Heidelberg

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Veganzones, M.A., Maldonado, J.O., Graña, M. (2008). On Content-Based Image Retrieval Systems for Hyperspectral Remote Sensing Images. In: Graña, M., Duro, R.J. (eds) Computational Intelligence for Remote Sensing. Studies in Computational Intelligence, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79353-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-79353-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79352-6

  • Online ISBN: 978-3-540-79353-3

  • eBook Packages: EngineeringEngineering (R0)

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