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Proceedings Paper

An Infrared Scene Composer For Electronic Vision Applications
Author(s): Timothy G. Bates; Michael K. Giles
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Paper Abstract

Because it is impossible to obtain real-image data that represent all of the scenarios and environmental conditions under which target recognizer models should be tested, we have developed a scene composer to aid in the analysis and evaluation of multiple-sensor electronic vision systems. The scene composer can present real-image data, computer-generated synthetic image data, and/or data composed of both real and synthetic imagery merged together so as to mimic an actual scene. For example, synthetic targets can be merged with real-image background scenes or vice versa. In addition, the composer uses a simple multiple scattering model to simulate image degradations due to fog or dust. Presently, our synthetic generator is a simple infrared scene model based on the assumption that a given absolute temperature in a scene will be detected as a graybody radiance value. The temperature model allows wavelength-dependent functions such as surface emissivity, detector responsivity, and spectral filter characteristics to be included in the integration of the Planck equation. Real-image data have been obtained from the Texas Instruments 8-bit LANTIRN Database and from other sources. The paper includes examples of real, synthetic, and merged infrared images and images degraded by simulated fog and dust.

Paper Details

Date Published: 10 December 1986
PDF: 4 pages
Proc. SPIE 0685, Infrared Technology XII, (10 December 1986); doi: 10.1117/12.936496
Show Author Affiliations
Timothy G. Bates, Sandia National Laboratories (United States)
Michael K. Giles, New Mexico State University (United States)

Published in SPIE Proceedings Vol. 0685:
Infrared Technology XII
Richard A. Mollicone; Irving J. Spiro, Editor(s)

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