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An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery

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Book cover Optical Remote Sensing

Part of the book series: Augmented Vision and Reality ((Augment Vis Real,volume 3))

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Abstract

Displaying the abundant information contained in a remotely sensed hyperspectral image is a challenging problem. Currently no approach can satisfactorily render the desired information at arbitrary levels of detail. This chapter discusses user studies on several approaches for representing the information contained in hyperspectral information. In particular, we compared four visualization methods: grayscale side-by-side display (GRAY), hard visualization (HARD), soft visualization (SOFT), and double-layer visualization (DBLY). We designed four tasks to evaluate these techniques in their effectiveness at conveying global and local information in an effort to provide empirical guidance for better visual analysis methods. We found that HARD is less effective for global pattern display and conveying local detailed information. GRAY and SOFT are effective and comparable for showing global patterns, but are less effective for revealing local details. Finally, DBLY visualization is efficient in conveying local detailed information and is as effective as GRAY and SOFT for global pattern depiction.

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Acknowledgments

This work was supported in part by the NASA Science Mission Directorate, Earth System Division, Applied Science Program under a contract to Mississippi State University through NASA’s Stennis Space Center and by the DoD High Performance Computing Visualization Initiative managed by the USACE ERDC. The authors wish to thank Dr. James Fowler for his insightful suggestions on improving some of the graphs.

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Authors and Affiliations

  1. Mississippi State University, Mississippi State, MS, USA

    Robert Moorhead & Qian Du

  2. Center for Risk Studies and Safety, Santa Barbara, CA, USA

    Shangshu Cai

Authors
  1. Shangshu Cai
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  2. Robert Moorhead
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  3. Qian Du
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Corresponding author

Correspondence to Robert Moorhead .

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Editors and Affiliations

  1. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, 39762, Mississippi, USA

    Saurabh Prasad

  2. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, 39762, Mississippi, USA

    Lori M. Bruce

  3. Institut Polytechnique de Grenoble, av. Félix Viallet 46, Grenoble CX 1, 38000, France

    Jocelyn Chanussot

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© 2011 Springer-Verlag Berlin Heidelberg

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Cai, S., Moorhead, R., Du, Q. (2011). An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery. In: Prasad, S., Bruce, L., Chanussot, J. (eds) Optical Remote Sensing. Augmented Vision and Reality, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14212-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-14212-3_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14211-6

  • Online ISBN: 978-3-642-14212-3

  • eBook Packages: EngineeringEngineering (R0)

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