Combining Synthetic Image Generation And Al To Aid Automatic Target Recognizers

R. Keller; J. Juarez; M. Prater; T. Balaban

doi:10.1117/12.940537

16 September 1987 Combining Synthetic Image Generation And Al To Aid Automatic Target Recognizers

R. Keller, J. Juarez, M. Prater, T. Balaban

Proceedings Volume 0781, Infrared Image Processing and Enhancement; (1987) https://doi.org/10.1117/12.940537
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

Recognition of real world targets in complex backgrounds under variable environmental conditions and operating states is presenting severe chal-lenges to designers of automatic target recognizers. This is primarily due to the lack of identifiable statistical invariants in the target/background signature. OAO Corporation has available a sophisticated signature prediction capability that can be used in conjunction with a natural language description of the recognition context to determine both the features and the feature strengths that are appropriate for the specified recognition context. Our signature prediction capability can be used to design a context adaptive target recognizer based either upon classical pattern recognition principles or more modern but less mature learning networks such as found in emerging neurocomputers.

Citation Download Citation

R. Keller, J. Juarez, M. Prater, and T. Balaban "Combining Synthetic Image Generation And Al To Aid Automatic Target Recognizers", Proc. SPIE 0781, Infrared Image Processing and Enhancement, (16 September 1987); https://doi.org/10.1117/12.940537

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