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1 April 1992 Synthetic thermal image generation for combat vehicle identification
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Proceedings Volume 1662, Image Storage and Retrieval Systems; (1992) https://doi.org/10.1117/12.58511
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
Abstract
There is a need for a cost-effective approach to training ground forces in combat vehicle identification (CVI), especially under thermal sighting conditions. Computer image generation (CIG) provides many advantages for the development of cost effective CVI training: 3-D and thermal modeling of vehicles, thermal rendering of landscape scenes, and a wide assortment of training scenarios. But the extent of computation required for CIG makes it impossible to combine real-time presentation and interactive control, except on very expensive, high-end graphics systems. We describe a solution in which we have separated CIG and presentation, allowing the computation-intensive processes to run `off-line'' on virtually any computer (high- end graphics or general-purpose). The presentation is provided by digital video interactive (DVI) technology, a flexible, low-cost, PC-based system for delivering high quality graphics, photo quality imagery, motion video, and audio. We have developed and demonstrated a specialized animation algorithm which combines landscape scenes and vehicle imagery to produce animated scenarios in which trainees face varying degrees of difficulty in vehicle identification. The simulation is intended to replicate the appearance and controls of common thermal sights in tanks. The animation has been integrated with a complete training program, which includes guided instruction in vehicle recognition.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James I. Montgomery, David Graff, and B. Patrick Landell "Synthetic thermal image generation for combat vehicle identification", Proc. SPIE 1662, Image Storage and Retrieval Systems, (1 April 1992); https://doi.org/10.1117/12.58511
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