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Proceedings Paper

Evaluation of demonstrators in the EUCLID 6.2 HISPARS project
Author(s): 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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Paper 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.

Paper Details

Date Published: 4 April 1997
PDF: 9 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271537
Show Author Affiliations
Daniel Duclos, SAGEM SA (France)
Jean-Francois Bonnet, SAGEM SA (France)
Roger A. Samy, SAGEM SA (France)
Laurent Herault, CEA/LETI (France)
Stefano Livi, Officine Galileo (Italy)
Sandro Magrini, Officine Galileo (Italy)
Stefano Landini, Officine Galileo (Italy)
Carlos Miravet, SENER (Spain)
Javier Santamaria, SENER (Spain)
Carlos A. Garriga, SENER (Spain)
Norbert Borsken, Atlas Elektronik (Germany)
Benedict Gouverneur, BATS (Belgium)
Pascal Druyts, Royal Mililtary Academy (Belgium)
Soren Rosenorn, Systematic (Denmark)
Preben Hunnerup, Systematic (Denmark)
Torsten Leth-Nielsen, Terma (Denmark)


Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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