17 June 1996 Texture generation for use in synthetic infrared scenes
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Abstract
In the process of creating synthetic scenes for use in simulations/visualizations, texture is used as a surrogate to 'high' spatial definition. For example, if one were to measure the location of every blade of grass and all of the characteristics of each blade of grass in a lawn, then in the process of composing a scene of the lawn, it would be expected that the result would appear 'real;' however, because this process is excruciatingly laborious, various techniques have been devised to place the required details in the scene through the use of texturing. Experience gained during the recent Smart Weapons Operability Enhancement Joint Test and Evaluation (SWOE JT&E) has shown the need for higher fidelity texturing algorithms and a better parameterization of those that are in use. In this study, four aspects of the problem have been analyzed: texture extraction, texture insertion, texture metrics, and texture creation algorithms. The results of extracting real texture from an image, measuring it with a variety of metrics, and generating similar texture with three different algorithms is presented. These same metrics can be used to define clutter and to make comparisons between 'real' and synthetic (or artificial) scenes in an objective manner.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clem Z. Ota, John Michael Rollins, Max P. Bleiweiss, "Texture generation for use in synthetic infrared scenes", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); doi: 10.1117/12.242990; https://doi.org/10.1117/12.242990
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KEYWORDS
Volume rendering

Fractal analysis

Detection and tracking algorithms

Autoregressive models

Infrared radiation

Thermal modeling

Image processing

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