caa a22 4500 445295325 CHVBK 20180317142540.0 cr unu---uuuuu 170323e20100301xx s 000 0 eng 10.1007/s11554-009-0121-5 doi (NATIONALLICENCE)springer-10.1007/s11554-009-0121-5 Infrared target-flare discrimination using a ZISC hardware neural network [Elektronische Daten] [Gilles Labonté, W. Deck] The last generation of infrared imaging aircraft seekers and trackers uses pattern recognition algorithms to find and keep a lock on an aircraft in the presence of decoy flares. These algorithms identify targets, based on the features of the various objects in the missile's field of view. Because modern both aircrafts and missiles fly faster than sound, speed of operation of the target identifier is critical. In this article, we propose a target recognition system that respects this time constraint. It is based on an artificial neural network implemented in hardware, as a set of parallel processors on a commercially available silicon chip called a ZISC, for zero instruction set computer. This chip would be integrated in the infrared missile seeker and tracker. We describe the characteristics of the images that the image processing module of this seeker and tracker extracts from the infrared video frames and show how to construct from these translation and rotation invariant features that can be used as input to the neural network. We determine the individual discriminating power of these features by constructing their histograms, which allows us to eliminate some as not being useful for our purpose. Finally, by testing our system on real data, we show that it has a 90% success rate in aircraft-flare identification, and a processing time that during this time, the aircrafts and missiles will have traveled only a few millimeters. Most of the images on which the neural network makes its mistakes are seen to be hard to recognize even by a human expert. Springer-Verlag, 2009 Infrared tracker nationallicence Target identification nationallicence Artificial neural network nationallicence ZISC nationallicence ZISC : Zero instruction set computer nationallicence DRDC : Defence Research and Development Canada nationallicence IIR : Imaging infrared nationallicence DSP : Digital signal processing nationallicence RCE : Reduced Coulomb energy (neural network) nationallicence ZISC036 : ZISC with 36 neurons nationallicence ZISC78 : ZISC with 78 neurons nationallicence FPGA : Field programmable gate array nationallicence PCI : Peripheral component interconnect nationallicence RBF : Radial basis function (neural network) nationallicence Labonté Gilles Department of Mathematics and Computer Science, Royal Military College of Canada, K7K 7B4, Kingston, ON, Canada aut Deck W. Department of Mathematics and Computer Science, Royal Military College of Canada, K7K 7B4, Kingston, ON, Canada aut Journal of Real-Time Image Processing Springer-Verlag 5/1(2010-03-01), 11-32 1861-8200 5:1<11 2010 5 11554 https://doi.org/10.1007/s11554-009-0121-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11554-009-0121-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Labonté Gilles Department of Mathematics and Computer Science, Royal Military College of Canada, K7K 7B4, Kingston, ON, Canada aut NATIONALLICENCE 700 1- Deck W. Department of Mathematics and Computer Science, Royal Military College of Canada, K7K 7B4, Kingston, ON, Canada aut NATIONALLICENCE 773 0- Journal of Real-Time Image Processing Springer-Verlag 5/1(2010-03-01), 11-32 1861-8200 5:1<11 2010 5 11554 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer