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A simulation for hyperspectral thermal IR imaging sensorsFormat | Member Price | Non-Member Price |
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Paper Abstract
Hyperspectral imaging sensors operating in the visual, near IR, and thermal IR bands are sufficiently advanced to
become a standard component of surveillance sensor suites. The output of these sensors contains a wealth of spectral
and spatial information that can improve target detection and recognition performance. However, the large volume and
complex features of hyperspectral data are challenges to automatic target recognition (ATR) algorithm development, and
a simulation of hyperspectral sensing is therefore essential in evaluating algorithm performance. This paper describes
the Infrared Hyperspectral Scene Simulation (IRHSS), an accurate, non-real-time large-scene simulation tool for
hyperspectral imagers operating in the thermal IR bands. The simulation contains models for target and background
spectral radiance, atmospheric propagation, and sensor processing. It uses a new hyperspectral version of the Multi-service
Electro-optical Signature (MuSES) model to compute scene temperatures and hyperspectral radiances. IRHSS
is able to handle very large terrain and feature databases by selective use of radiation view factors. It provides end-to-end
simulation starting with scene models built from COTS simulation databases with faceted terrain and targets, and
optional overlays of visual high-resolution texture imagery. IRHSS can be run as a standalone application via its
Windows-based graphical user interface (GUI) or as a plug-in to existing software using the IRHSS application
programming interface (API). Some screen images of the IRHSS GUI and example hyperspectral image cubes
generated by IRHSS are included herein.
Paper Details
Date Published: 14 April 2008
PDF: 11 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69661N (14 April 2008); doi: 10.1117/12.777845
Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)
PDF: 11 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69661N (14 April 2008); doi: 10.1117/12.777845
Show Author Affiliations
Yit-Tsi Kwan, Technology Service Corp. (United States)
Steven Sawtelle, Wright-Patterson Air Force Base (United States)
Uri Bernstein, Technology Service Corp. (United States)
Steven Sawtelle, Wright-Patterson Air Force Base (United States)
Uri Bernstein, Technology Service Corp. (United States)
Wellesley Pereira, ThermoAnalytics, Inc. (United States)
Dave Less, ThermoAnalytics, Inc. (United States)
Dave Less, ThermoAnalytics, Inc. (United States)
Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)
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