Synthetic Image Generation For Automatic Target Recognizer Evaluation

Chris J. Thomson; Thomas T. Steck; Ken G. Krebaum

doi:10.1117/12.968468

24 August 1988 Synthetic Image Generation For Automatic Target Recognizer Evaluation

Chris J. Thomson, Thomas T. Steck, Ken G. Krebaum

Proceedings Volume 0933, Multispectral Image Processing and Enhancement; (1988) https://doi.org/10.1117/12.968468
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Chris J. Thomson, Thomas T. Steck, and Ken G. Krebaum "Synthetic Image Generation For Automatic Target Recognizer Evaluation", Proc. SPIE 0933, Multispectral Image Processing and Enhancement, (24 August 1988); https://doi.org/10.1117/12.968468

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