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Proceedings Paper

Time-delay recurrent neural network for exo-atmospheric infrared target recognition
Author(s): Tao Liu; Jiang-bei Lv; Shu-hong Wong; Xiang Li
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Paper Abstract

A time-delay recurrent neural network (TDRNN) is proposed for exo-atmospheric infrared target recognition. The TDRNN employs adaptive time delays and recurrences where the adaptive time delays make the network choose the optimal values of time delays for the temporal location of important information in the input sequence and the recurrences enable the network to have dynamic recognition function. A TDRNN is trained and tested using simulated data. The target recognition experiment suggests that TDRNN have a better recognition ability.

Paper Details

Date Published: 5 August 2009
PDF: 6 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738346 (5 August 2009); doi: 10.1117/12.834570
Show Author Affiliations
Tao Liu, National Univ. of Defense Technology (China)
Jiang-bei Lv, National Univ. of Defense Technology (China)
Shu-hong Wong, National Univ. of Defense Technology (China)
Xiang Li, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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