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Volumn 47, Issue 28, 2008, Pages

Statistical characterization of hyperspectral background clutter in the reflective spectral region

Author keywords

[No Author keywords available]

Indexed keywords

CLUTTER (INFORMATION THEORY); IMAGE SEGMENTATION; NASA; RADAR TARGET RECOGNITION; SPECTROSCOPY;

EID: 60749114522     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.47.000F96     Document Type: Article
Times cited : (13)

References (20)
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  • 2
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  • 3
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    • Imaging spectroscopy: Interpretation based on spectral mixture analysis
    • C. M. Pieters and P. A. J. Englert, eds, Cambridge University Press
    • J. B. Adams, M. O. Smith, and A. R. Gillespie, "Imaging spectroscopy: Interpretation based on spectral mixture analysis," in Remote Geochemical Analysis: Elemental and Mineralogical Composition C. M. Pieters and P. A. J. Englert, eds. (Cambridge University Press, 1993), pp. 145-166.
    • (1993) Remote Geochemical Analysis: Elemental and Mineralogical Composition , pp. 145-166
    • Adams, J.B.1    Smith, M.O.2    Gillespie, A.R.3
  • 4
    • 15844379886 scopus 로고    scopus 로고
    • Background spectral library for Fort A.P. Hill Virginia
    • J. Cipar, R. Lockwood, T. Cooley, and P. Grigsby, "Background spectral library for Fort A.P. Hill Virginia," Proc. SPIE 5544, 35-46 (2004).
    • (2004) Proc. SPIE , vol.5544 , pp. 35-46
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  • 5
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    • 2 is the squared Mahalanobis distance; however, for simplicity, the term Mahalanobis distance is used in both cases. The exact meaning should be clear from the context.
    • 2 is the squared Mahalanobis distance; however, for simplicity, the term Mahalanobis distance is used in both cases. The exact meaning should be clear from the context.
  • 9
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    • Non-Gaussian random vector identification using spherically invariant random processes
    • M. Rangaswamy, D. Weiner, and A. Ozturk, "Non-Gaussian random vector identification using spherically invariant random processes," IEEE Trans. Aerosp. Electron. Syst. 29, 111-124 (1993).
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    • Rangaswamy, M.1    Weiner, D.2    Ozturk, A.3
  • 11
    • 33748635854 scopus 로고    scopus 로고
    • Hyperspectral clutter statistics, generative models, and anomaly detection
    • M. Bernhardt, J. Heather, and O. Watkins, "Hyperspectral clutter statistics, generative models, and anomaly detection," Proc. SPIE 6233, 623321 (2006).
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  • 12
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    • Statistical modeling of hyperspectral imaging data and their applications,
    • Tech. Rep. HTAP-16 Lincoln Laboratory
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    • Marden, D.1    Manolakis, D.2
  • 13
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    • Modeling hyperspectral imaging sata using elliptically contoured distributions
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    • (2003) Proc. SPIE , vol.5093 , pp. 253-262
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  • 18
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    • Statistical analysis of hyper-spectral data: A non-gaussian approach
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    • Dimensionality reduction of hyperspectral imaging data using local principal component transforms
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  • 20
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    • Effects of dimensionality reduction on the statistical distribution of hyperspectral backgrounds
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.