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International Symposium on Visual Computing

ISVC 2015: Advances in Visual Computing pp 728–738Cite as

Hyperspectral Scene Analysis via Structure from Motion

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9474))

Abstract

We present an overview of a structure from motion (SFM) pipeline for processing hyperspectral imagery (HSI), and demonstrate the data exploitation advantages associated with post-processing HSI data in a 3D environment. Using only raw HSI datacubes as input, we leverage HSI anomaly detection and spectral matching to create a 3D spatial model of the scene being imaged. The resulting 3D space provides an intuitive basis for all forms of HSI analysis. We demonstrate the usefulness of the proposed HSI SFM pipeline through an experimental data set collected using an aerial hyperspectral sensor.

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Authors and Affiliations

  1. Naval Research Laboratory, 4555 Overlook Avenue, Washington, DC, 20375, USA

    Corey A. Miller & Thomas J. Walls

Authors
  1. Corey A. Miller
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  2. Thomas J. Walls
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Corresponding author

Correspondence to Corey A. Miller .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. University of Houston, Houston, Texas, USA

    Ioannis Pavlidis

  6. IBM T.J. Watson Research Center, Yorktown Heights, New York, USA

    Rogerio Feris

  7. Purdue University, West Lafayette, Indiana, USA

    Tim McGraw

  8. Side Effects Software, Santa Monica, California, USA

    Mark Elendt

  9. The DiVE, Durham, North Carolina, USA

    Regis Kopper

  10. Texas A&M University, College Station, Texas, USA

    Eric Ragan

  11. Kent State University, Kent, Ohio, USA

    Zhao Ye

  12. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Gunther Weber

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Miller, C.A., Walls, T.J. (2015). Hyperspectral Scene Analysis via Structure from Motion. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9474. Springer, Cham. https://doi.org/10.1007/978-3-319-27857-5_65

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  • DOI: https://doi.org/10.1007/978-3-319-27857-5_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27856-8

  • Online ISBN: 978-3-319-27857-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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