Paper
4 April 1997 Evaluation of demonstrators in the EUCLID 6.2 HISPARS project
Daniel Duclos, Jean-Francois Bonnet, Roger A. Samy, Laurent Herault, Stefano Livi, Sandro Magrini, Stefano Landini, Carlos Miravet, Javier Santamaria, Carlos A. Garriga, Norbert Borsken, Benedict Gouverneur, Pascal Druyts, Soren Rosenorn, Preben Hunnerup, Torsten Leth-Nielsen
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Abstract
Hispars is an European EUCLID investigation projected devoted to evaluation of Artificial Neural Networks for defense pattern applications. Three demonstrators representing three military operational contexts (Air-to- Ground, Ground Battlefield, Naval Threat Evaluation) have been defined and developed. A set of operational processing chains have been selected, and for each of them, ANN methods have been proposed and evaluated on real data set at each level of processing, in comparison to those classical techniques used in existing equipment.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Duclos, Jean-Francois Bonnet, Roger A. Samy, Laurent Herault, Stefano Livi, Sandro Magrini, Stefano Landini, Carlos Miravet, Javier Santamaria, Carlos A. Garriga, Norbert Borsken, Benedict Gouverneur, Pascal Druyts, Soren Rosenorn, Preben Hunnerup, and Torsten Leth-Nielsen "Evaluation of demonstrators in the EUCLID 6.2 HISPARS project", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271537
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KEYWORDS
Artificial neural networks

Defense and security

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