
Proceedings Paper
Parametric prediction of the POD and PFA for reflective hyperspectral imaging systems: dependencies on target, scene and sensor design characteristics, and detection algorithmsFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Advanced ground and space-based hyperspectral imager (HSI) concepts are being developed for a wide variety of
scientific, civil, and military applications. Users and developers of these systems often require the specification of system
performance in terms of receiver-operator characteristic (ROC) curves which plot probability-of-detection (POD) versus
probability-of-false-alarm (PFA). In this paper we describe and illustrate the use of a scene-based modeling tool used to
explore ROC curve parametric dependencies on target, scene, and HSI sensor design characteristics and detection
algorithms in the visible/near infrared to shortwave infrared (VNIR/SWIR) spectral regime (i.e. from 0.4 to 2.5 microns).
The magnitudes of the target and background spectral signatures are synthesized using MODTRAN; this accounts for
pertinent solar elevation angle and albedo assumptions. Selected spectral input scenes (based on measured data) are used
assuming imbedded spectral targets (selectable), where a fill-factor parameter is used to account for target dimension
compared to sensor ground footprint. The HSI sensor sensitivity characteristics are imbedded via the noise-equivalent
reflectivity difference (NE▵ρ) figure-of-merit which is computed spectrally based on a given sensor design
configuration. Finally the POD, PFA and hence ROC parametrics are generated using a distinct candidate detection
algorithm. The roles of scene clutter, illumination conditions, and sensor signal-to-noise ratio are made clear in
simulation examples. In addition the impact of limited scene extent (limited scene pixel count) on the accuracy of the
PFA predictions is noted and discussed.
Paper Details
Date Published: 1 September 2006
PDF: 14 pages
Proc. SPIE 6302, Imaging Spectrometry XI, 63020B (1 September 2006); doi: 10.1117/12.683279
Published in SPIE Proceedings Vol. 6302:
Imaging Spectrometry XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 14 pages
Proc. SPIE 6302, Imaging Spectrometry XI, 63020B (1 September 2006); doi: 10.1117/12.683279
Show Author Affiliations
Edward M. Bassett, The Aerospace Corp. (United States)
Terrence S. Lomheim, The Aerospace Corp. (United States)
Terrence S. Lomheim, The Aerospace Corp. (United States)
Jeffrey A. Lang, The Aerospace Corp. (United States)
Thomas L. Hayhurst, The Aerospace Corp. (United States)
Thomas L. Hayhurst, The Aerospace Corp. (United States)
Published in SPIE Proceedings Vol. 6302:
Imaging Spectrometry XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)
© SPIE. Terms of Use
