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A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data

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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 976))

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Abstract

One of the basic challenges of understanding hyperspectral data arises from the fact that it is intrinsically 3-dimensional. A diverse range of algorithms have been developed to help visualize hyperspectral data trichromatically in 2-dimensions. In this paper we take a different approach and show how virtual reality provides a way of visualizing a hyperspectral data cube without collapsing the spectral dimension. Using several different real datasets, we show that it is straightforward to find signals of interest and make them more visible by exploiting the immersive, interactive environment of virtual reality. This enables signals to be seen which would be hard to detect if we were simply examining hyperspectral data band by band.

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Notes

  1. 1.

    The data is available at: http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Colorado State University, Fort Collins, CO, USA

    Henry Kvinge, Michael Kirby & Chris Peterson

  2. Department of Biomedical Sciences, Colorado State University, Fort Collins, CO, USA

    Chad Eitel & Tod Clapp

Authors
  1. Henry Kvinge
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  2. Michael Kirby
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  3. Chris Peterson
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  4. Chad Eitel
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  5. Tod Clapp
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Corresponding author

Correspondence to Michael Kirby .

Editor information

Editors and Affiliations

  1. Department of Computer Science, UPC BarcelonaTech, Barcelona, Spain

    Alfredo Vellido

  2. Knowledge Engineering and Machine Learning Group (KEMLG) at Intelligent Data Science and Artificial Intelligence Research Center, UPC BarcelonaTech, Barcelona, Spain

    Karina Gibert

  3. Department of Automatic Control, UPC BarcelonaTech, Barcelona, Spain

    Cecilio Angulo

  4. Departament d'Enginyeria Electrònica, Universitat de València, Burjassot, Valencia, Spain

    José David Martín Guerrero

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Kvinge, H., Kirby, M., Peterson, C., Eitel, C., Clapp, T. (2020). A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data. In: Vellido, A., Gibert, K., Angulo, C., Martín Guerrero, J. (eds) Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019. Advances in Intelligent Systems and Computing, vol 976. Springer, Cham. https://doi.org/10.1007/978-3-030-19642-4_16

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