
Proceedings Paper
HIL range performance of notional hyperspectral imaging sensorsFormat | Member Price | Non-Member Price |
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Paper Abstract
In the use of conventional broadband imaging systems, whether reflective or emissive, scene image contrasts are often so
low that target discrimination is difficult or uncertain, and it is contrast that drives human-in-the-loop (HIL) sensor range
performance. This situation can occur even when the spectral shapes of the target and background signatures (radiances)
across the sensor waveband differ significantly from each other. The fundamental components of broadband image
contrast are the spectral integrals of the target and background signatures, and this spectral integration can average away
the spectral differences between scene objects. In many low broadband image contrast situations, hyperspectral imaging
(HSI) can preserve a greater degree of the intrinsic scene spectral contrast for the display, and more display contrast
means greater range performance by a trained observer. This paper documents a study using spectral radiometric
signature modeling and the U.S. Army’s Night Vision Integrated Performance Model (NV-IPM) to show how waveband
selection by a notional HSI sensor using spectral contrast optimization can significantly increase HIL sensor range
performance over conventional broadband sensors.
Paper Details
Date Published: 3 May 2016
PDF: 11 pages
Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 98200N (3 May 2016); doi: 10.1117/12.2223004
Published in SPIE Proceedings Vol. 9820:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII
Gerald C. Holst; Keith A. Krapels, Editor(s)
PDF: 11 pages
Proc. SPIE 9820, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII, 98200N (3 May 2016); doi: 10.1117/12.2223004
Show Author Affiliations
Van A. Hodgkin, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Christopher L. Howell, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Published in SPIE Proceedings Vol. 9820:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVII
Gerald C. Holst; Keith A. Krapels, Editor(s)
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