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A Windowing/Pushbroom Hyperspectral Imager

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

Abstract

We show that any pushbroom hyperspectral imager can be converted into a windowing one by only attaching in front of it a simple dispersive element. The resulting device displays the same spectral resolution than the former one. To test this idea we have built a pushbroom imaging spectrograph in our laboratory. A plane transmission grating has been used as the dispersive element. We point out the main characteristics of these devices and we show some illustrative results.

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Author information

Authors and Affiliations

  1. Departamento de Física Aplicada, Universidade de Santiago de Compostela, Escola Universitaria de Óptica e Optometría, E-15782, Santiago de Compostela, Spain

    B. Couce, X. Prieto-Blanco, C. Montero-Orille & R. de la Fuente

Authors
  1. B. Couce
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  2. X. Prieto-Blanco
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  3. C. Montero-Orille
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  4. R. de la Fuente
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Couce, B., Prieto-Blanco, X., Montero-Orille, C., de la Fuente, R. (2006). A Windowing/Pushbroom Hyperspectral Imager. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_39

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  • DOI: https://doi.org/10.1007/11893011_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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