Hybrid system for automatic target recognition

Erik Eustache; Denis J. Gingras; Denis Poussart

doi:10.1117/12.188644

17 October 1994 Hybrid system for automatic target recognition

Erik Eustache, Denis J. Gingras, Denis Poussart

Proceedings Volume 2269, Infrared Technology XX; (1994) https://doi.org/10.1117/12.188644
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

A hybrid system is proposed for automatic target recognition. The system developed consists of an optical module and an electronic/computer module. The electronic module uses a Datacube^TM image processing system to carry out real-time filtering, detection, and segmentation operations. The optical module is composed of two LCTVs (liquid crystal television), a He-Ne laser, a collimator, and a CCD camera. This module calculates specific energy spectra in the Fourier plane of a potential target identified by the electronic module. These values are fed in a neural network implemented on Sun SPARC 10^TM model 41 for the classification of the current target. Experimental results involving special classes of target and their distribution in the features space are presented.

Citation Download Citation

Erik Eustache, Denis J. Gingras, and Denis Poussart "Hybrid system for automatic target recognition", Proc. SPIE 2269, Infrared Technology XX, (17 October 1994); https://doi.org/10.1117/12.188644

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