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Spatial-Spectral Feature Extraction on Pansharpened Hyperspectral Imagery

Kaufman, Jason R.
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1408706595

Abstract Details

2014, Doctor of Philosophy (PhD), Ohio University, Electrical Engineering (Engineering and Technology).
In recent years, hyperspectral imagery (HSI) has been increasingly used for mining, agricultural, and surveillance applications. Such imagery typically has fine spectral resolution but coarse spatial resolution. Although many HSI systems include a panchromatic high resolution imager (HRI) sensor, the HRI data captured simultaneously with the HSI has not been widely exploited in a similar manner as the HSI. Generally for target detection applications, a human in the loop (HiL) examines the output from an automated HSI target detection algorithm, correlates the results with locations, spectral and spatial features, and context in the HRI, and then makes a decision about whether an object or material is present at a given location. In this work we enhance the spatial resolution of hyperspectral imagery with HRI via a new high frequency injection image fusion technique. Feature extraction algorithms that jointly exploit the spatial and spectral aspects are developed and applied to this imagery and that from other image fusion techniques. These approaches are evaluated against specially constructed targets in a state-of-the-art airborne, coincident HSI and HRI data set, collected specifically for this evaluation. We demonstrate that spatial enhancement of hyperspectral imagery, combined with spatial-spectral feature extraction techniques, consistently yields a higher level of target discrimination capability when the targets move throughout the scene.
Mehmet Celenk (Advisor)
Jeffrey Dill (Committee Member)
Michael Eismann (Committee Member)
Jundong Liu (Committee Member)
Tatiana Savin (Committee Member)
Maarten Uijt De Haag (Committee Member)
117 p.
Electrical Engineering; Remote Sensing
hyperspectral imagery; high spatial resolution imagery; spatial-spectral feature extraction; image resolution enhancement; pansharpening; image fusion; material detection and identification

Recommended Citations

Citations

  • Kaufman, J. R. (2014). Spatial-Spectral Feature Extraction on Pansharpened Hyperspectral Imagery [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1408706595

    APA Style (7th edition)

  • Kaufman, Jason. Spatial-Spectral Feature Extraction on Pansharpened Hyperspectral Imagery. 2014. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1408706595.

    MLA Style (8th edition)

  • Kaufman, Jason. "Spatial-Spectral Feature Extraction on Pansharpened Hyperspectral Imagery." Doctoral dissertation, Ohio University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1408706595

    Chicago Manual of Style (17th edition)

ohiou1408706595
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© 2014, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.