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Proceedings Paper

Synthetic Image Generation For Automatic Target Recognizer Evaluation
Author(s): Chris J. Thomson; Thomas T. Steck; Ken G. Krebaum
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Paper Abstract

The advantages of using a synthetic data base for developing Automatic Target Recognition (ATR) algorithms are well recognized. Primarily, a synthetic data base allows the economical generation of images that represent scenarios from which it is difficult or impossible to obtain real data. Furthermore, synthetic imagery allows direct control of image parameters, such as target signal-to-noise ratio, which aids ATR algorithm evaluation. This paper describes Texas Instruments' (TI's) Synthetic Image Generation for Automatic Target Recognizer Evaluation (SIGNATRE) system.

Paper Details

Date Published: 24 August 1988
PDF: 6 pages
Proc. SPIE 0933, Multispectral Image Processing and Enhancement, (24 August 1988); doi: 10.1117/12.968468
Show Author Affiliations
Chris J. Thomson, Texas Instruments (United States)
Thomas T. Steck, United States Army (United States)
Ken G. Krebaum, Texas Instruments (United States)


Published in SPIE Proceedings Vol. 0933:
Multispectral Image Processing and Enhancement
Marshall R. Weathersby, Editor(s)

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