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Proceedings Paper

Synthetic thermal image generation for combat vehicle identification
Author(s): James I. Montgomery; David Graff; B. Patrick Landell
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Paper 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.

Paper Details

Date Published: 1 April 1992
PDF: 5 pages
Proc. SPIE 1662, Image Storage and Retrieval Systems, (1 April 1992); doi: 10.1117/12.58511
Show Author Affiliations
James I. Montgomery, U.S. Army PM Trade (United States)
David Graff, GE Aerospace (United States)
B. Patrick Landell, GE Aerospace (United States)

Published in SPIE Proceedings Vol. 1662:
Image Storage and Retrieval Systems
Albert A. Jamberdino; Carlton Wayne Niblack, Editor(s)

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