Paper
10 December 1986 An Infrared Scene Composer For Electronic Vision Applications
Timothy G. Bates, Michael K. Giles
Author Affiliations +
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy G. Bates and Michael K. Giles "An Infrared Scene Composer For Electronic Vision Applications", Proc. SPIE 0685, Infrared Technology XII, (10 December 1986); https://doi.org/10.1117/12.936496
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Fiber optic gyroscopes

Data modeling

Infrared imaging

Infrared radiation

Atmospheric modeling

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