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*C. B. Su'e, 2012: [http://www.dtic.mil/dtic/tr/fulltext/u2/a557752.pdf "Characterization of a hyperspectral chromotomographic imaging ground system"]. Thesis. Air Force Institute of Technology. |
*C. B. Su'e, 2012: [http://www.dtic.mil/dtic/tr/fulltext/u2/a557752.pdf "Characterization of a hyperspectral chromotomographic imaging ground system"]. Thesis. Air Force Institute of Technology. |
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*H. V. Nguyen, A. Banerjee, Ph. Burlina and J. Broadwater and R. Chellappa, 2011: [https://web.archive.org/web/20131230231955/http://www.umiacs.umd.edu/~hien/index_files/HyperspectralTrack.pdf "Tracking and identification via object |
*H. V. Nguyen, A. Banerjee, Ph. Burlina and J. Broadwater and R. Chellappa, 2011: [https://web.archive.org/web/20131230231955/http://www.umiacs.umd.edu/~hien/index_files/HyperspectralTrack.pdf "Tracking and identification via object reflectance using a hyperspectral video camera"], In: R. Hammoud et al. (eds.), ''Machine Vision Beyond Visible Spectrum, Augmented Vision and Reality'', 1, DOI: 10.1007/978-3-642-11568-4_9, Springer-Verlag Berlin Heidelberg 2011 |
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*D. B. Cavanaugh, J. M. Lorenz, N. Unwin, M. Dombrowski and P. Willson, 2009: [https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7457/1/VNIR-hypersensor-camera-system/10.1117/12.833539.short?SSO=1 "VNIR hypersensor camera system"], ''Imaging Spectrometry XIV'', edited by Sylvia S. Shen, Paul E. Lewis, Proc. SPIE Vol. 7457, 74570O · 2009 SPIE · CCC code: 0277-786X/09/$18 · doi: 10.1117/12.833539 |
*D. B. Cavanaugh, J. M. Lorenz, N. Unwin, M. Dombrowski and P. Willson, 2009: [https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7457/1/VNIR-hypersensor-camera-system/10.1117/12.833539.short?SSO=1 "VNIR hypersensor camera system"], ''Imaging Spectrometry XIV'', edited by Sylvia S. Shen, Paul E. Lewis, Proc. SPIE Vol. 7457, 74570O · 2009 SPIE · CCC code: 0277-786X/09/$18 · doi: 10.1117/12.833539 |
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*W. Debski and P. Walczykowski, 2008: [http://www.isprs.org/proceedings/XXXVII/congress/7_pdf/3_WG-VII-3/25.pdf "Acquiring reflectance coefficients using hyperspectral video imagery"], ''The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences''. Vol. XXXVII. Part B7. Beijing 2008 |
*W. Debski and P. Walczykowski, 2008: [http://www.isprs.org/proceedings/XXXVII/congress/7_pdf/3_WG-VII-3/25.pdf "Acquiring reflectance coefficients using hyperspectral video imagery"], ''The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences''. Vol. XXXVII. Part B7. Beijing 2008 |
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Video spectroscopy combines spectroscopic measurements with video technique. This technology has resulted from recent developments in hyperspectral imaging. A video capable imaging spectrometer can work like a camcorder and provide full frame spectral images in real-time that enables advanced (vehicle based) mobility and hand-held imaging spectroscopy. Unlike hyperspectral line scanners, a video spectrometer can spectrally capture randomly and quickly moving objects and processes. The product of a conventional hyperspectral line scanner has typically been called a hyperspectral data cube. A video spectrometer produces a spectral image data series at much higher speeds (1 ms) and frequencies (25 Hz) that is called a hyperspectral video. This technology can initiate novel solutions and challenges in spectral tracking, field spectroscopy, spectral mobile mapping, real-time spectral monitoring and many other applications.
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